Triple
T6070854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Trail Ice House |
E135275
|
entity |
| Predicate | outdoorSeating |
P68478
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Katy Trail Ice House, outdoorSeating, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outdoorSeating Context triple: [Katy Trail Ice House, outdoorSeating, yes]
-
A.
outdoorSeatingCommon
Indicates that providing outdoor seating is a typical or frequently occurring feature in the given context or location.
-
B.
hasGrassSeatingArea
Indicates that an entity includes or provides a seating area located on a grass surface.
-
C.
hasPicnicTables
Indicates that an entity provides or contains one or more picnic tables available for use.
-
D.
hasShelteredSeating
Indicates that an entity provides seating that is protected from weather or other external elements.
-
E.
outdoorVenue
Indicates that an event, activity, or gathering takes place at a location situated outdoors rather than inside a building or enclosed structure.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05742867481908e3f45c875807c73 |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:10 p.m.