Triple
T25887487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipa Noi Beach |
E652229
|
entity |
| Predicate | comparedToOtherAreasOfKoSamui |
P147983
|
FINISHED |
| Object | less crowded |
—
|
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: less crowded | Statement: [Lipa Noi Beach, comparedToOtherAreasOfKoSamui, less crowded]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedToOtherAreasOfKoSamui Context triple: [Lipa Noi Beach, comparedToOtherAreasOfKoSamui, less crowded]
-
A.
comparedToOtherAreasOfBoracay
Indicates a comparison of some characteristic or quality between a specified area and other areas within Boracay.
-
B.
popularityComparedToWhiteBeach
Indicates how the popularity of one entity compares relative to that of White Beach.
-
C.
relativeToOtherBeaches
chosen
Indicates a comparative relationship that expresses how one beach is characterized or evaluated in relation to other beaches.
-
D.
hasTraditionalVillagesAlongCoast
Indicates that there are traditional villages located along the coastline of a specified geographic area.
-
E.
nearbyResortArea
Indicates that a resort area is located close to or within a short distance of a specified place or entity.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 22, 2026, 8:18 a.m.