Triple
T4413238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JW Marriott Marquis Hotel Dubai |
E94899
|
entity |
| Predicate | rankAmongTallestHotels |
P2472
|
FINISHED |
| Object | one of the tallest hotels in the world |
—
|
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 hotels in the world | Statement: [JW Marriott Marquis Hotel Dubai, rankAmongTallestHotels, one of the tallest hotels in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankAmongTallestHotels Context triple: [JW Marriott Marquis Hotel Dubai, rankAmongTallestHotels, one of the tallest hotels in the world]
-
A.
rankAmongTallestBuildings
Indicates that one building is among the tallest buildings within a specified group, area, or category.
-
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.
SkytraxRating
Indicates that an entity has been assigned a specific quality or performance rating according to the Skytrax airline and airport evaluation system.
-
D.
rankByHeightWorld
chosen
Indicates an ordering of entities based on their relative height compared to all others in the world.
-
E.
touristArrivalsRank
Indicates the relative position of a place compared to others based on the number of tourists arriving there.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.