Triple
T5225972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autopista Norte |
E117987
|
entity |
| Predicate | connectsDistrict |
P2564
|
FINISHED |
| Object |
Engativá
Engativá is a locality in the northwestern part of Bogotá, Colombia, characterized by dense residential areas, commercial zones, and significant transport infrastructure.
|
E503882
|
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: Engativá | Statement: [Autopista Norte, connectsDistrict, Engativá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engativá Context triple: [Autopista Norte, connectsDistrict, Engativá]
-
A.
Engti
Engti is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
-
B.
Loggos
Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
-
C.
Neyo
Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and "Closer" and for writing songs for numerous major artists.
-
D.
Havah
Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
-
E.
Lafia
Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
- 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: Engativá Triple: [Autopista Norte, connectsDistrict, Engativá]
Generated description
Engativá is a locality in the northwestern part of Bogotá, Colombia, characterized by dense residential areas, commercial zones, and significant transport infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Engativá Target entity description: Engativá is a locality in the northwestern part of Bogotá, Colombia, characterized by dense residential areas, commercial zones, and significant transport infrastructure.
-
A.
Engti
Engti is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
-
B.
Loggos
Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
-
C.
Neyo
Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and "Closer" and for writing songs for numerous major artists.
-
D.
Havah
Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
-
E.
Lafia
Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adc9be081909903b9f844c3d146 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeffc51888190938dc157b14c4b6c |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef0b2b6448190be1c465738be741b |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef121817c8190aebd27ee34c0a419 |
completed | March 21, 2026, 7:27 p.m. |
Created at: March 20, 2026, 1:48 p.m.