Triple
T23760563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Vanderbilt |
E587236
|
entity |
| Predicate | rankAmongTallestInUS |
P153860
|
FINISHED |
| Object | one of the tallest buildings in the United States |
—
|
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: one of the tallest buildings in the United States | Statement: [One Vanderbilt, rankAmongTallestInUS, one of the tallest buildings in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankAmongTallestInUS Context triple: [One Vanderbilt, rankAmongTallestInUS, one of the tallest buildings in the United States]
-
A.
tallestIn
Indicates that one entity has a greater height than all other relevant entities within a specified group or context.
-
B.
rankInNorthAmericaByElevation
Indicates the relative position of a place in an ordered list of locations in North America based on their elevation.
-
C.
stateHighPointRank
Indicates the relative ranking position of a location as the highest point within a given state or comparable region.
-
D.
rankByPopulationInUS
Indicates the relative ordering of entities based on the size of their populations within the United States.
-
E.
rankByPopulationInUnitedStates
Indicates the relative ordering of entities based on their population size within the United States.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb289508190a4a1049762102794 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:14 p.m.