Triple
T3096983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angra do Heroísmo |
E64618
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Posto Santo
Posto Santo is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
|
E327506
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Posto Santo | Statement: [Angra do Heroísmo, hasParish, Posto Santo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Posto Santo Context triple: [Angra do Heroísmo, hasParish, Posto Santo]
-
A.
Santo
Santo is a surname most famously associated with Ron Santo, the Hall of Fame third baseman for the Chicago Cubs.
-
B.
San-São
San-São is the traditional Brazilian football derby between São Paulo FC and Santos FC, known for its historic rivalries and memorable matches.
-
C.
Retiro
Retiro is a central Buenos Aires neighborhood known for its major train and bus terminals, historic plazas, and mix of commercial and residential areas.
-
D.
Retiro
Retiro is a central district of Madrid, Spain, known for encompassing the expansive El Retiro Park and a mix of residential, cultural, and historical areas.
-
E.
Our Lady of Copacabana
Our Lady of Copacabana is a revered Marian title and statue of the Virgin Mary venerated as the patron saint of Bolivia, especially associated with the lakeside town of Copacabana on Lake Titicaca.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Posto Santo Triple: [Angra do Heroísmo, hasParish, Posto Santo]
Generated description
Posto Santo is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Posto Santo Target entity description: Posto Santo is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
A.
Santo
Santo is a surname most famously associated with Ron Santo, the Hall of Fame third baseman for the Chicago Cubs.
-
B.
San-São
San-São is the traditional Brazilian football derby between São Paulo FC and Santos FC, known for its historic rivalries and memorable matches.
-
C.
Retiro
Retiro is a central Buenos Aires neighborhood known for its major train and bus terminals, historic plazas, and mix of commercial and residential areas.
-
D.
Retiro
Retiro is a central district of Madrid, Spain, known for encompassing the expansive El Retiro Park and a mix of residential, cultural, and historical areas.
-
E.
Our Lady of Copacabana
Our Lady of Copacabana is a revered Marian title and statue of the Virgin Mary venerated as the patron saint of Bolivia, especially associated with the lakeside town of Copacabana on Lake Titicaca.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23cbe3c8190b7ec5cfd464a1ca8 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2037483fc8190b8343faa58fb9893 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204a8c5348190a2cb102b08fd6fa5 |
completed | March 12, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205bdf5c881908bc6ef7c3c30df65 |
completed | March 12, 2026, 12:15 a.m. |
Created at: March 8, 2026, 3:03 p.m.