Triple
T17700095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FrenchPlaceNames |
E441273
|
entity |
| Predicate | coversType |
P9088
|
FINISHED |
| Object | CityNames |
—
|
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: CityNames | Statement: [FrenchPlaceNames, coversType, CityNames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversType Context triple: [FrenchPlaceNames, coversType, CityNames]
-
A.
coversTypeOfSite
chosen
Indicates that one entity provides coverage or applies to a particular category or type of site.
-
B.
coversSection
Indicates that one entity includes, addresses, or provides content for a particular section of another entity.
-
C.
coversMaterialType
Indicates that one entity includes, addresses, or applies to a specified type of material.
-
D.
coversActionType
Indicates that one entity’s scope, responsibility, or applicability includes or encompasses a particular type of action.
-
E.
coversMode
Indicates that one entity includes, addresses, or supports a particular mode or manner of operation associated with another 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e471597d5c8190bd06337239739cd7 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:04 a.m.