Triple
T8370281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilma cross |
E197435
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Bilma
Bilma is an oasis town in northeastern Niger, historically significant as a key stop on trans-Saharan trade routes and known for its traditional salt production.
|
E727099
|
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: Bilma | Statement: [Bilma cross, associatedWith, Bilma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilma Context triple: [Bilma cross, associatedWith, Bilma]
-
A.
Buin
Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
-
B.
Buin
Buin are an indigenous ethnic group from the southern part of Bougainville Island in Papua New Guinea, known for their distinct language and cultural traditions.
-
C.
Bida
Bida is a prominent town in Niger State, central Nigeria, known as a commercial and cultural hub of the Nupe people.
-
D.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
-
E.
Berhida
Berhida is a small town in western Hungary known for its industrial background and location near the city of Veszprém.
- 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: Bilma Triple: [Bilma cross, associatedWith, Bilma]
Generated description
Bilma is an oasis town in northeastern Niger, historically significant as a key stop on trans-Saharan trade routes and known for its traditional salt production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bilma Target entity description: Bilma is an oasis town in northeastern Niger, historically significant as a key stop on trans-Saharan trade routes and known for its traditional salt production.
-
A.
Buin
Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
-
B.
Buin
Buin are an indigenous ethnic group from the southern part of Bougainville Island in Papua New Guinea, known for their distinct language and cultural traditions.
-
C.
Bida
Bida is a prominent town in Niger State, central Nigeria, known as a commercial and cultural hub of the Nupe people.
-
D.
Hadrut
Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
-
E.
Berhida
Berhida is a small town in western Hungary known for its industrial background and location near the city of Veszprém.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a400888190bef114052f3c4f76 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc79752b48190933ea644a59f2305 |
completed | April 2, 2026, 1:34 a.m. |
| NEDg | Description generation | batch_69cdcc88ee7881909c81d55a5354cbae |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd366df88190aefa4fe9d5d470e6 |
completed | April 2, 2026, 1:58 a.m. |
Created at: March 30, 2026, 6:01 p.m.