Triple
T9895260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Climatron |
E181553
|
entity |
| Predicate | enclosedArea |
P43477
|
FINISHED |
| Object | approximately 1,400 square meters |
—
|
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: approximately 1,400 square meters | Statement: [Climatron, enclosedArea, approximately 1,400 square meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enclosedArea Context triple: [Climatron, enclosedArea, approximately 1,400 square meters]
-
A.
enclosesArea
chosen
Indicates that one entity surrounds and contains a bounded region of space occupied or defined by another.
-
B.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
C.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
-
D.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
E.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4a89e148190901753e67483d72c |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.