Triple
T18611451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall B |
E454902
|
entity |
| Predicate | hasSiblingFacility |
P132778
|
FINISHED |
| Object | Hall D |
—
|
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: Hall D | Statement: [Hall B, hasSiblingFacility, Hall D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hall D Context triple: [Hall B, hasSiblingFacility, Hall D]
-
A.
Hall D
chosen
Hall D is a specialized experimental hall at the Continuous Electron Beam Accelerator Facility used for high-energy nuclear and particle physics research.
-
B.
Hall D
Hall D is one of the large exhibition halls within Toronto’s Enercare Centre, used for trade shows, conventions, and major public events.
-
C.
Hall D
Hall D is one of the multi-purpose event and performance spaces within the Tokyo International Forum complex in Tokyo, Japan.
-
D.
Hall E
Hall E is a versatile exhibition and event space within the Tokyo International Forum complex in central Tokyo.
-
E.
Hall E
Hall E is one of the exhibition halls within Toronto’s Enercare Centre, used for large-scale trade shows, conventions, and public events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d01ebd08190b6e646e3a749d7f5 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.