Triple
T876593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belém |
E18930
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Ajuda
Ajuda is a neighborhood in the city of Belém, Brazil, known for its local residential character within the metropolitan area.
|
E104057
|
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: Ajuda | Statement: [Belém, near, Ajuda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajuda Context triple: [Belém, near, Ajuda]
-
A.
Help!
"Help!" is a 1965 song and title track by the Beatles, widely recognized as one of their classic hits from their early period.
-
B.
Help Me
"Help Me" is a 1974 jazz-inflected folk-pop song by Canadian singer-songwriter Joni Mitchell, widely regarded as one of her signature hits from the album *Court and Spark*.
-
C.
HELP Committee
The HELP Committee is a key U.S. Senate committee responsible for legislation and oversight related to health, education, labor, and pensions.
-
D.
Foros
Foros is a coastal resort settlement on the southern shore of Crimea, known for its scenic cliffs, beaches, and the landmark Church of the Resurrection overlooking the Black Sea.
-
E.
How.
How. is the standard abbreviated form of the journal title "Howard Reports," a legal case reporter.
- 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: Ajuda Triple: [Belém, near, Ajuda]
Generated description
Ajuda is a neighborhood in the city of Belém, Brazil, known for its local residential character within the metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ajuda Target entity description: Ajuda is a neighborhood in the city of Belém, Brazil, known for its local residential character within the metropolitan area.
-
A.
Help!
"Help!" is a 1965 song and title track by the Beatles, widely recognized as one of their classic hits from their early period.
-
B.
Help Me
"Help Me" is a 1974 jazz-inflected folk-pop song by Canadian singer-songwriter Joni Mitchell, widely regarded as one of her signature hits from the album *Court and Spark*.
-
C.
HELP Committee
The HELP Committee is a key U.S. Senate committee responsible for legislation and oversight related to health, education, labor, and pensions.
-
D.
Foros
Foros is a coastal resort settlement on the southern shore of Crimea, known for its scenic cliffs, beaches, and the landmark Church of the Resurrection overlooking the Black Sea.
-
E.
How.
How. is the standard abbreviated form of the journal title "Howard Reports," a legal case reporter.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acaf30a48190a10ed7fee464c444 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b8520a008190a15bdb93e8ce2438 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7b9774df881908fbd4d1b54442cdc |
completed | March 4, 2026, 4:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba46a2ec8190892404cb1f259cf0 |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:39 p.m.