Triple
T26305911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibam |
E661680
|
entity |
| Predicate | typicalBuildingFloors |
P113473
|
FINISHED |
| Object | 5–7 |
—
|
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: 5–7 | Statement: [Shibam, typicalBuildingFloors, 5–7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBuildingFloors Context triple: [Shibam, typicalBuildingFloors, 5–7]
-
A.
numberOfFloors
Indicates the total count of distinct floor levels that a building or structure has.
-
B.
hasBaseBuildingFloors
chosen
Indicates that something (such as a building or structure) has a specified number of floors in its base or main part.
-
C.
numberOfResidentialFloors
Indicates the total count of floors in a building that are designated for residential use.
-
D.
locatedInBuildingFloorCount
Indicates that one entity is located in or associated with a building characterized by a specific number of floors.
-
E.
floorCountOfSurroundingBuildings
Indicates the number of floors in the buildings that are located around or near a given reference building or area.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 26, 2026, 10:18 p.m.