Triple
T12983403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrail |
E321705
|
entity |
| Predicate | writtenForm |
P2203
|
FINISHED |
| Object | Terrail |
E321705
|
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: Terrail | Statement: [Terrail, writtenForm, Terrail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrail Context triple: [Terrail, writtenForm, Terrail]
-
A.
Terrail
chosen
Terrail is the family name of Pierre Terrail, seigneur de Bayard, the famed French knight celebrated as the "chevalier sans peur et sans reproche" during the Italian Wars.
-
B.
Dorléac
Dorléac is a French family name best known for being the birth surname of acclaimed actress Catherine Deneuve and her sister, actress Françoise Dorléac.
-
C.
Contrée
Contrée is a surrealist poetry collection by French writer Robert Desnos, reflecting his dreamlike imagery and inventive use of language.
-
D.
Trabia
Trabia is a coastal town in northern Sicily, Italy, known for its historic tuna-fishing tradition and medieval fortifications.
-
E.
Arelerland
Arelerland is a historical region in southeastern Belgium, centered around the town of Arlon and known for its Luxembourgish cultural and linguistic heritage.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e5ca33481909a6cb06c636889f9 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f4320881909d66eaa48f888fab |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:39 p.m.