Triple
T37410460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arbeyal Beach |
E929550
|
entity |
| Predicate | hasBenchesAlongPromenade |
P193807
|
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: [Arbeyal Beach, hasBenchesAlongPromenade, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBenchesAlongPromenade Context triple: [Arbeyal Beach, hasBenchesAlongPromenade, true]
-
A.
hasAdditionalBenchesAt
Indicates that one location or facility includes extra benches situated at or associated with another specified place.
-
B.
hasPromenade
Indicates that one entity features or includes a promenade, typically as a designated walkway or leisure area associated with it.
-
C.
hasPromenadeUse
Indicates that something is used or designated for promenade activities, such as walking or leisurely strolling.
-
D.
hasPedestrianPlazaOn
Indicates that a pedestrian plaza is located on, or directly associated with, a specified surface, structure, or area.
-
E.
hasPicnicTables
Indicates that an entity provides or contains one or more picnic tables available for use.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
| PDg | Predicate description generation | batch_69fd553c01488190b9fda48b4a728f04 |
completed | May 8, 2026, 3:15 a.m. |
Created at: May 3, 2026, 4:16 p.m.