Triple
T17017690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 63 Building |
E412863
|
entity |
| Predicate | wasTallestBuildingUntilYear |
P125523
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [63 Building, wasTallestBuildingUntilYear, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasTallestBuildingUntilYear Context triple: [63 Building, wasTallestBuildingUntilYear, 2003]
-
A.
formerTallestBuildingInTheWorld
Indicates that a building once held, but no longer holds, the record for being the tallest building in the world.
-
B.
formerTallestBuildingIn
Indicates that a building was once the tallest building within a specified place or region, but no longer holds that status.
-
C.
wasTallestResidentialBuildingByHeightToAntennaUntil
Indicates that one building held the record for being the tallest residential building, measured by height to the antenna, until a specified time.
-
D.
wasTallestBuildingInNewYorkUntil
Indicates that a building held the status of being the tallest building in New York up to a specified point in time.
-
E.
tallestBuildingStartYear
Indicates the year in which the construction of the tallest building associated with the subject began.
- F. None of above. chosen
Provenance (4 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.