Triple
T12937605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarare |
E309553
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Tarariennes |
E1011149
|
NE FINISHED |
How this triple was built (2 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: Tarariennes | Statement: [Tarare, hasDemonym, Tarariennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarariennes Context triple: [Tarare, hasDemonym, Tarariennes]
-
A.
Tarariens
chosen
Tarariens are the inhabitants or natives of the French commune of Tarare, located in the Rhône department in eastern France.
-
B.
Barradères
Barradères is a coastal commune and fishing town in Haiti located within the Nippes Department.
-
C.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
D.
Juvisiennes
Juvisiennes are the female inhabitants or natives of the French commune of Juvisy-sur-Orge, located in the southern suburbs of Paris.
-
E.
Chamechaude
Chamechaude is a prominent alpine peak in southeastern France, known for its panoramic views and popularity among hikers and skiers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f6b8d788b88190b161a41f85594fb8 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:43 p.m.