Triple
T13862706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanhã |
E333236
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Paranhos
Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
|
E1066808
|
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: Paranhos | Statement: [Campanhã, adjacentTo, Paranhos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paranhos Context triple: [Campanhã, adjacentTo, Paranhos]
-
A.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
B.
Parecís
Parecís is an Arawakan language spoken by the Paresí (Haliti) Indigenous people of Brazil, primarily in the state of Mato Grosso.
-
C.
Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
-
D.
Areias
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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: Paranhos Triple: [Campanhã, adjacentTo, Paranhos]
Generated description
Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paranhos Target entity description: Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
-
A.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
B.
Parecís
Parecís is an Arawakan language spoken by the Paresí (Haliti) Indigenous people of Brazil, primarily in the state of Mato Grosso.
-
C.
Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
-
D.
Areias
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c33437e8819085b6f79402500ba3 |
completed | May 3, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3cd3cf0819099cc6cbd04c62e83 |
completed | May 3, 2026, 9:53 p.m. |
Created at: April 9, 2026, 10:14 p.m.