Triple
T20686613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makai Tower |
E508435
|
entity |
| Predicate | numberOfBuildingsInComplex |
P11484
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Makai Tower, numberOfBuildingsInComplex, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBuildingsInComplex Context triple: [Makai Tower, numberOfBuildingsInComplex, 2]
-
A.
numberOfBuildings
chosen
Indicates the total count of buildings associated with a given entity or within a specified context.
-
B.
hasMultipleBuildings
Indicates that an entity possesses, controls, or is associated with more than one distinct building.
-
C.
numberOfFloors
Indicates the total count of distinct floor levels that a building or structure has.
-
D.
hasBaseBuildingFloors
Indicates that something (such as a building or structure) has a specified number of floors in its base or main part.
-
E.
buildingComplex
Indicates a relationship where multiple buildings are grouped and function together as a single integrated complex.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beacc30081908e57cd7f2c3ef047 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:45 a.m.