Triple
T24895945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thong Nai Pan Yai |
E623139
|
entity |
| Predicate | twinBeachWith |
P6268
|
FINISHED |
| Object | Thong Nai Pan Noi |
E622166
|
NE 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: Thong Nai Pan Noi | Statement: [Thong Nai Pan Yai, twinBeachWith, Thong Nai Pan Noi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twinBeachWith Context triple: [Thong Nai Pan Yai, twinBeachWith, Thong Nai Pan Noi]
-
A.
sisterBeaches
chosen
Indicates a relationship between two beaches where they are considered counterparts or closely linked, often due to similarities, proximity, or a formal pairing.
-
B.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
C.
hasBeachCharacteristic
Indicates that something possesses a specific quality, feature, or attribute associated with a beach.
-
D.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
E.
isBeachTown
Indicates that a place is a town characterized by its location on or near a beach and its association with beach-related activities or environment.
- F. None of above.
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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a103320f3208190b517213b417366ed |
completed | May 22, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:26 a.m.