Triple
T27207137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Absolute Towers |
E683894
|
entity |
| Predicate | heightOfTallerTower |
P18664
|
FINISHED |
| Object | 179.5 metres |
—
|
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: 179.5 metres | Statement: [Absolute Towers, heightOfTallerTower, 179.5 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfTallerTower Context triple: [Absolute Towers, heightOfTallerTower, 179.5 metres]
-
A.
hasTowerHeight
chosen
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
B.
storeysOfTallestTower
Indicates the number of storeys contained in the tallest tower associated with the given context or entity.
-
C.
testTowerHeight
Indicates that an entity measures or evaluates the height of a tower.
-
D.
storeysOfSecondTower
Indicates the number of storeys (floors) that the second tower in a given context has.
-
E.
isTallestTowerIn
Indicates that one tower is the tallest tower within a specified location or set of towers.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625e6138c819093137c0d085b499b |
completed | May 2, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:38 a.m.