Triple
T518613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyatt Regency Dallas |
E10762
|
entity |
| Predicate | hasConferenceSpace |
P15338
|
FINISHED |
| Object | large convention and meeting space |
—
|
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: large convention and meeting space | Statement: [Hyatt Regency Dallas, hasConferenceSpace, large convention and meeting space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConferenceSpace Context triple: [Hyatt Regency Dallas, hasConferenceSpace, large convention and meeting space]
-
A.
hasConference
Indicates that an entity organizes, hosts, or is associated with a specific conference.
-
B.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
C.
hasMeetingLocation
Indicates that an entity (such as a meeting or event) takes place at or is associated with a specific location.
-
D.
isMultiStateConference
Indicates that a conference involves participants or activities spanning multiple states rather than being limited to a single state.
-
E.
associatedWithConference
Indicates that an entity has a connection or involvement with a specific conference, such as participation, organization, or affiliation.
- F. None of above. chosen
Provenance (4 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f19ee6748190916603ef3a9e27f3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0151e8c81909a82b58ac0515eba |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f1137e948190838303cdaa757a5a |
completed | Feb. 28, 2026, 1:43 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.