Triple
T13632659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandigarh low lounge chairs |
E325760
|
entity |
| Predicate | originalUseContext |
P111382
|
FINISHED |
| Object | government offices in Chandigarh |
—
|
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: government offices in Chandigarh | Statement: [Chandigarh low lounge chairs, originalUseContext, government offices in Chandigarh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalUseContext Context triple: [Chandigarh low lounge chairs, originalUseContext, government offices in Chandigarh]
-
A.
originUse
Indicates that one entity is used as the original source, basis, or starting point for the creation, derivation, or use of another entity.
-
B.
endedUseWith
Indicates that an entity has stopped or terminated its use or association with another entity.
-
C.
actualUse
Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
-
D.
expandedUseOf
Indicates that something is being applied, implemented, or utilized more broadly or extensively than before.
-
E.
originContext
Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
- F. None of above. chosen
Provenance (4 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.