Triple
T34014226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall 7 |
E872195
|
entity |
| Predicate | venueWithinComplex |
P112021
|
FINISHED |
| Object | AsiaWorld-Expo exhibition and event halls |
—
|
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: AsiaWorld-Expo exhibition and event halls | Statement: [Hall 7, venueWithinComplex, AsiaWorld-Expo exhibition and event halls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueWithinComplex Context triple: [Hall 7, venueWithinComplex, AsiaWorld-Expo exhibition and event halls]
-
A.
venueComplex
Indicates that one venue is a complex or larger facility that contains or encompasses another venue.
-
B.
housedWithinComplex
chosen
Indicates that one entity is located inside and functionally part of a larger building or facility complex.
-
C.
partOfTerminalComplex
Indicates that an entity functions as a component or subunit within a larger terminal complex structure.
-
D.
partOfResortComplexWith
Indicates that one entity is a component or facility within the same resort complex as the other entity, forming part of a shared resort property.
-
E.
hallLocatedNear
Indicates that a hall is situated close to another specified place or entity in physical space.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.