Triple
T707870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Trade Center (reconstructed complex) |
E14139
|
entity |
| Predicate | One World Trade CenterHeight_m |
P19041
|
FINISHED |
| Object | 541.3 |
—
|
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: 541.3 | Statement: [World Trade Center (reconstructed complex), One World Trade CenterHeight_m, 541.3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: One World Trade CenterHeight_m Context triple: [World Trade Center (reconstructed complex), One World Trade CenterHeight_m, 541.3]
-
A.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
B.
SearsTowerLaterRenamed
Indicates that something originally known as the Sears Tower was later given a different official name.
-
C.
formerTallestBuildingInTheWorld
Indicates that a building once held, but no longer holds, the record for being the tallest building in the world.
-
D.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
E.
heldTallestStructureTitleFrom
Indicates that an entity held the title of being the tallest structure for a specified time period starting from a given point.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5bed20c81909ecc28bf42594e72 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:36 p.m.