Triple
T35362680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuala Perlis Ferry Terminal |
E1021535
|
entity |
| Predicate | hasApproximateTravelTimeToLangkawi |
P177302
|
FINISHED |
| Object | about 1 hour to 1.5 hours |
—
|
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 1 hour to 1.5 hours | Statement: [Kuala Perlis Ferry Terminal, hasApproximateTravelTimeToLangkawi, about 1 hour to 1.5 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateTravelTimeToLangkawi Context triple: [Kuala Perlis Ferry Terminal, hasApproximateTravelTimeToLangkawi, about 1 hour to 1.5 hours]
-
A.
travelTimeFromKotaKinabalu
Indicates the amount of time required to travel from Kota Kinabalu to another specified location or entity.
-
B.
travelTimeToKLsentral
Indicates the amount of time required to travel from a given location to KL Sentral.
-
C.
hasApproximateTravelTimeToMainland
chosen
Indicates that one location is associated with an estimated or approximate amount of time required to travel from it to the mainland.
-
D.
travelTimeFromLabuanBajo
Indicates the amount of time required to travel from Labuan Bajo to another specified location or entity.
-
E.
hasApproximateWalkingTimeTo
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: May 3, 2026, 4:03 p.m.