Triple
T4003884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | original World Trade Center |
E89476
|
entity |
| Predicate | heightOfTallestTowersWithAntenna_m |
P1730
|
FINISHED |
| Object | 526 |
—
|
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: 526 | Statement: [original World Trade Center, heightOfTallestTowersWithAntenna_m, 526]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfTallestTowersWithAntenna_m Context triple: [original World Trade Center, heightOfTallestTowersWithAntenna_m, 526]
-
A.
antennaSpireHeight
chosen
Indicates the vertical measurement of an object's antenna or spire from its base to its highest point.
-
B.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
C.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
D.
isTallestTowerIn
Indicates that one tower is the tallest tower within a specified location or set of towers.
-
E.
towerCount
Indicates the number of towers associated with or present in a given entity or context.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.