Triple
T26650242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedra Branca |
E669028
|
entity |
| Predicate | distanceFromSingapore |
P73693
|
FINISHED |
| Object | about 44 kilometres east of mainland Singapore |
—
|
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: about 44 kilometres east of mainland Singapore | Statement: [Pedra Branca, distanceFromSingapore, about 44 kilometres east of mainland Singapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSingapore Context triple: [Pedra Branca, distanceFromSingapore, about 44 kilometres east of mainland Singapore]
-
A.
distanceToSingapore
chosen
Indicates the physical distance between a given location or entity and Singapore.
-
B.
distanceFromKualaLumpur
Indicates the spatial distance between a given location or entity and Kuala Lumpur.
-
C.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
-
D.
distanceFromManila
Indicates the measured spatial distance between a given entity’s location and the city of Manila.
-
E.
distanceFromGeorgeTown
Indicates the measured spatial distance between a given location and George Town.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: April 27, 2026, 2:32 a.m.