Triple
T35919774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meurthe department |
E1038847
|
entity |
| Predicate | hadPrefecture |
P7509
|
FINISHED |
| Object | Nancy |
—
|
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: Nancy | Statement: [Meurthe department, hadPrefecture, Nancy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPrefecture Context triple: [Meurthe department, hadPrefecture, Nancy]
-
A.
hasPrefecture
chosen
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
B.
isPrefecture
Indicates that one entity functions as an administrative prefecture governing or representing the other entity.
-
C.
passesPrefecture
Indicates that a route, path, or entity traverses through or goes across a specified prefecture.
-
D.
hasPrefecturalOffice
Indicates that a given location or administrative unit contains or hosts an official prefectural government office.
-
E.
hostPrefecture
Indicates the prefecture that serves as the host location for an event, activity, or entity.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.