Triple
T26088513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WR4 |
E658050
|
entity |
| Predicate | coversTypeOfArea |
P6822
|
FINISHED |
| Object | urban area |
—
|
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: urban area | Statement: [WR4, coversTypeOfArea, urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversTypeOfArea Context triple: [WR4, coversTypeOfArea, urban area]
-
A.
mayCoverArea
Indicates that one entity is permitted or able to extend over, include, or encompass a specified spatial area.
-
B.
coversFrom
Indicates that one entity provides protection, concealment, or shelter for another entity against something originating from a specified source or direction.
-
C.
coversTypeOfSite
Indicates that one entity provides coverage or applies to a particular category or type of site.
-
D.
coversTo
Indicates that one entity extends its coverage or protective scope to include another entity.
-
E.
hasAreaType
chosen
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 7:45 p.m.