Triple
T16114149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richelieu, Indre-et-Loire |
E390959
|
entity |
| Predicate | hasPlannedStreets |
P47409
|
FINISHED |
| Object | orthogonal grid |
—
|
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: orthogonal grid | Statement: [Richelieu, Indre-et-Loire, hasPlannedStreets, orthogonal grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedStreets Context triple: [Richelieu, Indre-et-Loire, hasPlannedStreets, orthogonal grid]
-
A.
hasStreetPlan
chosen
Indicates that an entity possesses or is associated with a specific layout or design plan for its streets.
-
B.
hasNumberOfStreets
Indicates the relationship that specifies how many streets are associated with or contained within a given entity.
-
C.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
D.
hasStreetLevel
Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
-
E.
hasRoads
Indicates that there exist constructed road connections linking the related entities.
- 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.