Triple
T38527501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broken Beach |
E923266
|
entity |
| Predicate | distanceFromBaliMainIsland |
P204017
|
FINISHED |
| Object | approximately 20–30 km southeast across 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: approximately 20–30 km southeast across the sea | Statement: [Broken Beach, distanceFromBaliMainIsland, approximately 20–30 km southeast across the sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBaliMainIsland Context triple: [Broken Beach, distanceFromBaliMainIsland, approximately 20–30 km southeast across the sea]
-
A.
distanceFromDenpasar
Indicates the spatial distance between a given location and Denpasar.
-
B.
distanceFromMainIslandGroup
chosen
Indicates the measured distance separating a location from the primary or central island group in a given region.
-
C.
distanceFromNgurahRaiAirport
Indicates the measured distance between a given location and Ngurah Rai Airport.
-
D.
distanceFromMaui
Indicates the measured or specified distance between an entity and the location of Maui.
-
E.
distanceFromUbud
Indicates the spatial distance separating a given place or object from the location of Ubud.
- 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.