Triple
T29461482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batla House |
E747248
|
entity |
| Predicate | hasAreaUse |
P154103
|
FINISHED |
| Object | residential |
—
|
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: residential | Statement: [Batla House, hasAreaUse, residential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAreaUse Context triple: [Batla House, hasAreaUse, residential]
-
A.
hasCentralAreaUse
Indicates that an entity’s central area is used or designated for a particular function or purpose.
-
B.
hasDayUseArea
Indicates that a location or facility includes an area designated for daytime, non-overnight public use.
-
C.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
D.
hasFloorSpaceUse
chosen
Indicates how a given area of floor space is allocated or used for specific functions or activities.
-
E.
hasFloorUse
Indicates that a particular floor or level of a building is designated for a specific function, activity, or type of use.
- 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 28, 2026, 3:50 p.m.