Triple
T24299569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 85 Sky Tower |
E606054
|
entity |
| Predicate | rankInWorldAtCompletion |
P30662
|
FINISHED |
| Object | one of the tallest buildings in the world |
—
|
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 world | Statement: [85 Sky Tower, rankInWorldAtCompletion, one of the tallest buildings in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInWorldAtCompletion Context triple: [85 Sky Tower, rankInWorldAtCompletion, one of the tallest buildings in the world]
-
A.
rankingAtCompletion
chosen
Indicates the position or rank an entity holds in an ordered list or competition at the moment the relevant process or event is completed.
-
B.
rankInCountry
Indicates the position or standing of an entity within a specific country according to some ranking or ordered criterion.
-
C.
comparableInternationalRank
Indicates that two entities have international rankings that can be meaningfully compared to each other.
-
D.
capacityRankInWorld
Indicates the relative position or ranking of an entity’s capacity compared to all similar entities worldwide.
-
E.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915d8ac881908d71ba529e30f434 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.