Triple
T27538578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singer Building |
E695165
|
entity |
| Predicate | wasAmongTallestBuildings |
P31595
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Singer Building, wasAmongTallestBuildings, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasAmongTallestBuildings Context triple: [Singer Building, wasAmongTallestBuildings, true]
-
A.
wasTallestStructureIn
Indicates that one structure held the status of being the tallest within a specified place or during a specified time period.
-
B.
wasTallestBuildingOfType
Indicates that a building held the status of being the tallest among all buildings of a specified type (e.g., category, function, or classification) during a given context or time period.
-
C.
heldTallestStructureTitleFrom
Indicates that an entity held the title of being the tallest structure for a specified time period starting from a given point.
-
D.
rankAmongTallestBuildings
chosen
Indicates that one building is among the tallest buildings within a specified group, area, or category.
-
E.
heldTallestBuildingTitleFrom
Indicates that one entity held the title of having the tallest building in the world (or a specified region) starting from a particular time.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f5c34cc819099bff36545dd5965 |
completed | May 2, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69f623ac3a9c8190a6ee0c137b09e4b0 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:29 p.m.