Triple
T9191416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Tower, Paris (La Défense) |
E220595
|
entity |
| Predicate | isSkyscraper |
P73968
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pacific Tower, Paris (La Défense), isSkyscraper, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSkyscraper Context triple: [Pacific Tower, Paris (La Défense), isSkyscraper, true]
-
A.
isSkyscraperIn
Indicates that a skyscraper is located within or belongs to a specified geographic area or place.
-
B.
locatedInSkyscraper
Indicates that one entity is physically situated within or inside a skyscraper.
-
C.
partOfSkylineOf
Indicates that one entity is a visible component or feature contributing to the overall skyline profile of another entity, typically a city or urban area.
-
D.
isHighRise
chosen
Indicates that a building or structure is classified as a high-rise, typically due to its height exceeding a defined multi-story threshold.
-
E.
isTallestStructureIn
Indicates that the subject is the tallest structure located within the specified place or area.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c077b4819086c74e91ee4bd75e |
completed | April 1, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.