Triple
T1434395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eureka Tower |
E30524
|
entity |
| Predicate | formerRanking |
P29271
|
FINISHED |
| Object | one of the world’s tallest residential buildings |
—
|
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 world’s tallest residential buildings | Statement: [Eureka Tower, formerRanking, one of the world’s tallest residential buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerRanking Context triple: [Eureka Tower, formerRanking, one of the world’s tallest residential buildings]
-
A.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
B.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
C.
rankingMember
Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
-
D.
eligibleRank
Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
-
E.
namedForRank
Indicates that something is named after a specific rank or title held by an entity.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.