Triple
T12937604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarare |
E309553
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Tarariens
Tarariens are the inhabitants or natives of the French commune of Tarare, located in the Rhône department in eastern France.
|
E1011149
|
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: Tarariens | Statement: [Tarare, hasDemonym, Tarariens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarariens Context triple: [Tarare, hasDemonym, Tarariens]
-
A.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
-
B.
Tars
Tars is the athletic nickname for the sports teams representing Rollins College.
-
C.
Tarkani
Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
-
D.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
E.
Tepiman
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
- 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: Tarariens Triple: [Tarare, hasDemonym, Tarariens]
Generated description
Tarariens are the inhabitants or natives of the French commune of Tarare, located in the Rhône department in eastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarariens Target entity description: Tarariens are the inhabitants or natives of the French commune of Tarare, located in the Rhône department in eastern France.
-
A.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
-
B.
Tars
Tars is the athletic nickname for the sports teams representing Rollins College.
-
C.
Tarkani
Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
-
D.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
E.
Tepiman
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc8c0848190946e109ec98e4479 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6ef89881908ec3138b9f4a8b1a |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b0660b188190a67bfff73b882d92 |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1aa191081908266128776a2147a |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:43 p.m.