Triple
T24895956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thong Nai Pan Yai |
E623139
|
entity |
| Predicate | hasBeachCharacteristics |
P148611
|
FINISHED |
| Object | gentle slope into the sea |
—
|
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: gentle slope into the sea | Statement: [Thong Nai Pan Yai, hasBeachCharacteristics, gentle slope into the sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeachCharacteristics Context triple: [Thong Nai Pan Yai, hasBeachCharacteristics, gentle slope into the sea]
-
A.
hasBeachCharacteristic
chosen
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.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
D.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
E.
hasBeachDestination
Indicates that a place is a destination characterized by having a beach suitable for visits or recreation.
- F. None of above.
Provenance (3 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:26 a.m.