Triple
T25879188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citeureup |
E651996
|
entity |
| Predicate | hasRuralVillages |
P54976
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Citeureup, hasRuralVillages, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuralVillages Context triple: [Citeureup, hasRuralVillages, true]
-
A.
hasRuralCommunes
Indicates that an entity possesses, includes, or is associated with one or more rural communes.
-
B.
hasNumberOfRuralSettlements
Indicates the quantity of rural settlements associated with or contained within a given entity.
-
C.
hasRuralArea
Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
-
D.
hasRuralLocality
chosen
Indicates that an entity possesses, includes, or is associated with a rural locality (such as a village, hamlet, or countryside settlement) within its scope or jurisdiction.
-
E.
hasVillage
Indicates that an entity possesses, contains, or is associated with a village.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6033d54948190a52da9e6bef00afa |
completed | May 2, 2026, 1:59 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:13 a.m.