Triple
T5873554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Orange |
E130573
|
entity |
| Predicate | departmentCapitalStatus |
P18552
|
FINISHED |
| Object | subprefecture of Vaucluse |
—
|
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: subprefecture of Vaucluse | Statement: [City of Orange, departmentCapitalStatus, subprefecture of Vaucluse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departmentCapitalStatus Context triple: [City of Orange, departmentCapitalStatus, subprefecture of Vaucluse]
-
A.
departmentCapitalOf
chosen
Indicates that a location serves as the administrative capital of a specified department (an administrative division).
-
B.
regionCapitalStatus
Indicates that one entity serves as the capital of a specified region or administrative area in relation to another entity.
-
C.
departmentStatus
Indicates the current operational or organizational state assigned to a department.
-
D.
isFinancialCapitalOf
Indicates that a city or region serves as the primary center for a country’s or area’s financial, banking, and economic market activities.
-
E.
stateCapitalStatus
Indicates that an entity serves as the official capital city of a specified state or state-level administrative region.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.