Triple
T19346462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammos Beach |
E483890
|
entity |
| Predicate | hasBeachBarsNearby |
P135512
|
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: [Ammos Beach, hasBeachBarsNearby, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeachBarsNearby Context triple: [Ammos Beach, hasBeachBarsNearby, true]
-
A.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
B.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
C.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
D.
hasBeachServices
Indicates that an entity provides services or amenities specifically for beach use or beachgoers.
-
E.
hasBeachClub
Indicates that one entity operates, owns, or is associated with a beach club facility or service.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185b7d348190ba195056bb32c765 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:34 p.m.