Triple
T36892131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Allen Center |
E911774
|
entity |
| Predicate | isSkyscraperOf |
P45694
|
FINISHED |
| Object | Houston, Texas |
—
|
NE NERFINISHED |
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: Houston, Texas | Statement: [One Allen Center, isSkyscraperOf, Houston, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSkyscraperOf Context triple: [One Allen Center, isSkyscraperOf, Houston, Texas]
-
A.
isSkyscraperIn
chosen
Indicates that a skyscraper is located within or belongs to a specified geographic area or place.
-
B.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
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.
isTallestStructureIn
Indicates that the subject is the tallest structure located within the specified place or area.
-
E.
locatedInSkyscraper
Indicates that one entity is physically situated within or inside a skyscraper.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd8b718c819094ee0c1fbe434bae |
completed | May 5, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.