Triple
T30268209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KK100 |
E769710
|
entity |
| Predicate | rankingInShenzhenByHeight |
P31595
|
FINISHED |
| Object | one of the tallest buildings in Shenzhen |
—
|
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 Shenzhen | Statement: [KK100, rankingInShenzhenByHeight, one of the tallest buildings in Shenzhen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingInShenzhenByHeight Context triple: [KK100, rankingInShenzhenByHeight, one of the tallest buildings in Shenzhen]
-
A.
rankInShanghaiByHeightCurrent
Indicates the position an entity currently holds in a ranking of heights within Shanghai, ordered from tallest to shortest.
-
B.
rankInCityByHeight
Indicates the relative ordering of entities within a specific city based on their height, such as which is tallest, second tallest, and so on.
-
C.
rankInShanghaiByHeightAtCompletion
Indicates the numerical position an entity holds in a Shanghai-wide ranking ordered by its height at the time it was completed.
-
D.
rankAmongTallestBuildings
chosen
Indicates that one building is among the tallest buildings within a specified group, area, or category.
-
E.
approximateHeightOfTallestStructure
Indicates the estimated height value associated with the tallest structure in a given context or set.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 7:43 p.m.