Triple
T11613468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SM Megamall |
E275441
|
entity |
| Predicate | grossFloorArea |
P24212
|
FINISHED |
| Object | approximately 474000 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 474000 square meters | Statement: [SM Megamall, grossFloorArea, approximately 474000 square meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grossFloorArea Context triple: [SM Megamall, grossFloorArea, approximately 474000 square meters]
-
A.
hasFloorArea
chosen
Indicates that an entity possesses a specified amount of floor space as a measurable area.
-
B.
grossLeasableArea
Indicates the total floor area within a property that is available to be leased to tenants, excluding common or non-leasable spaces.
-
C.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
D.
fareArea
Indicates the geographic or zonal region within which a particular fare or pricing rule applies.
-
E.
standardArea
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a044a3088190b92f4674c2d0b443 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.