Triple
T8720607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tourangelle |
E207000
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object | Tourangelles |
E207000
|
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: Tourangelles | Statement: [Tourangelle, hasPluralForm, Tourangelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tourangelles Context triple: [Tourangelle, hasPluralForm, Tourangelles]
-
A.
Tourangelle
chosen
Tourangelle is the French term for a female inhabitant or native of the city of Tours in central France.
-
B.
Aigaleo
Aigaleo is a suburban municipality in the western part of the Athens metropolitan area in Greece.
-
C.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
D.
Gavicalis
Gavicalis is a genus of Australasian honeyeaters, comprising small to medium-sized nectar-feeding birds known for their brush-tipped tongues and association with flowering habitats.
-
E.
Allerona
Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28f599a481908e93bc5b5c41296e |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:36 p.m.