Triple
T17401846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapi Island |
E423108
|
entity |
| Predicate | travelTimeFromKotaKinabalu |
P127338
|
FINISHED |
| Object | about 15 to 20 minutes by boat |
—
|
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 15 to 20 minutes by boat | Statement: [Sapi Island, travelTimeFromKotaKinabalu, about 15 to 20 minutes by boat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeFromKotaKinabalu Context triple: [Sapi Island, travelTimeFromKotaKinabalu, about 15 to 20 minutes by boat]
-
A.
distanceFromKualaLumpur
Indicates the spatial distance between a given location or entity and Kuala Lumpur.
-
B.
distanceFromKuching
Indicates the spatial distance between a given location and Kuching.
-
C.
distanceFromKotaBharu
Indicates the spatial distance between an entity’s location and the city of Kota Bharu.
-
D.
distanceToMountKinabalu
Indicates the measured or calculated spatial distance between a given entity and Mount Kinabalu.
-
E.
distanceToKota
Indicates the measured distance between a given entity and the location referred to as Kota.
- F. None of above. chosen
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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b046ad88190a95bbeda4e602514 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:45 a.m.