Triple
T22898233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soggy Dollar Bar |
E568234
|
entity |
| Predicate | hasBeachHammocks |
P150164
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Soggy Dollar Bar, hasBeachHammocks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeachHammocks Context triple: [Soggy Dollar Bar, hasBeachHammocks, true]
-
A.
hasBeachCharacteristic
Indicates that something possesses a specific quality, feature, or attribute associated with a beach.
-
B.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
C.
hasBeachHuts
Indicates that one location or area includes or is equipped with beach huts.
-
D.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
E.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801415dc8190b5de6095f1ed4ba5 |
completed | April 29, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:41 p.m.