Triple
T16114141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richelieu, Indre-et-Loire |
E390959
|
entity |
| Predicate | hasTownWallRemains |
P29117
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Richelieu, Indre-et-Loire, hasTownWallRemains, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTownWallRemains Context triple: [Richelieu, Indre-et-Loire, hasTownWallRemains, true]
-
A.
hasHistoricTownWallsRemnants
chosen
Indicates that remnants of historic town walls are present and associated with the subject entity.
-
B.
hasCityWallFunction
Indicates that an entity serves the functional role of a city wall, such as providing defense, enclosure, or boundary protection for an urban area.
-
C.
hasCityWallName
Indicates that a city wall is associated with a specific name or designation.
-
D.
followsOldCityWall
Indicates that something runs along or traces the path of an old city wall.
-
E.
hasCastleRemains
Indicates that one entity possesses or contains the remaining structures or ruins of a castle associated with it.
- F. None of above.
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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20169ce488190bbc814f23a3b7547 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.