Triple
T6104147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute-Saône |
E136074
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lure |
E569181
|
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: Lure | Statement: [Haute-Saône, contains, Lure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lure Context triple: [Haute-Saône, contains, Lure]
-
A.
Lure
chosen
Lure is a small administrative town in eastern France that serves as one of the key local centers of the Haute-Saône department in the Bourgogne-Franche-Comté region.
-
B.
The Angler
"The Angler" is a short story by Washington Irving that reflects his nostalgic, gently humorous style and interest in English rural life.
-
C.
The Burning Perch
The Burning Perch is a posthumously published 1963 poetry collection by Louis MacNeice that reflects his late style of lyrical, reflective, and often darkly ironic verse.
-
D.
The Tackle
The Tackle is the famous game-saving stop by Tennessee Titans linebacker Mike Jones at the one-yard line on the final play of Super Bowl XXXIV, preserving the St. Louis Rams' championship.
-
E.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3f8e5481909e85a60aaf319f66 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1359334c081909653603633ba9c06 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:13 p.m.