Triple
T34680014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A71 |
E890593
|
entity |
| Predicate | runsThroughDepartment |
P42199
|
FINISHED |
| Object | Loiret |
—
|
NE NERFINISHED |
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: Loiret | Statement: [A71, runsThroughDepartment, Loiret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runsThroughDepartment Context triple: [A71, runsThroughDepartment, Loiret]
-
A.
passesThroughDepartment
Indicates that an entity moves through, is processed by, or is routed via a particular department as part of a workflow or path.
-
B.
traversesDepartment
chosen
Indicates that an entity moves through or passes across the area or domain of a specific department.
-
C.
runsThroughStation
Indicates that a route, line, or service passes through and stops at a particular station as part of its path.
-
D.
laterDepartment
Indicates that one department occurs or is considered after another in a defined ordering or sequence.
-
E.
basedInDepartment
Indicates that an entity operates or has its primary affiliation within a specific department.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72327346881909caa001dc0107b23 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.