Triple
T26821677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonglang Beach |
E675261
|
entity |
| Predicate | comparedToOtherBeachesOnKohLarn |
P147983
|
FINISHED |
| Object | quieter |
—
|
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: quieter | Statement: [Tonglang Beach, comparedToOtherBeachesOnKohLarn, quieter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedToOtherBeachesOnKohLarn Context triple: [Tonglang Beach, comparedToOtherBeachesOnKohLarn, quieter]
-
A.
popularityComparedToWhiteBeach
Indicates how the popularity of one entity compares relative to that of White Beach.
-
B.
relativeToOtherBeaches
chosen
Indicates a comparative relationship that expresses how one beach is characterized or evaluated in relation to other beaches.
-
C.
comparedToOtherAreasOfBoracay
Indicates a comparison of some characteristic or quality between a specified area and other areas within Boracay.
-
D.
hasBeachCharacteristic
Indicates that something possesses a specific quality, feature, or attribute associated with a beach.
-
E.
hasBeachWidth
Indicates the measured width or extent of a beach, typically from the shoreline to the landward boundary.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 4:55 a.m.