Triple
T1765689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benina International Airport |
E38756
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
|
E199595
|
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: Benina | Statement: [Benina International Airport, locatedIn, Benina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benina Context triple: [Benina International Airport, locatedIn, Benina]
-
A.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
B.
Ewondo
Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
-
C.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
D.
Calabar
Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
-
E.
Garki
Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
- 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: Benina Triple: [Benina International Airport, locatedIn, Benina]
Generated description
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benina Target entity description: Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
A.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
B.
Ewondo
Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
-
C.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
D.
Calabar
Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
-
E.
Garki
Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6467c3f08190abc8a06269ede908 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada98eb0348190a44e05393a2c6eff |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adae9845f081908904030f7a10df63 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adafa3494c8190b34a6930cf38ca40 |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 4, 2026, 7:31 p.m.