Triple
T8866681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pahang River |
E211034
|
entity |
| Predicate | rankInLengthInPeninsularMalaysia |
P82012
|
FINISHED |
| Object | one of the longest rivers in Peninsular Malaysia |
—
|
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: one of the longest rivers in Peninsular Malaysia | Statement: [Pahang River, rankInLengthInPeninsularMalaysia, one of the longest rivers in Peninsular Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInLengthInPeninsularMalaysia Context triple: [Pahang River, rankInLengthInPeninsularMalaysia, one of the longest rivers in Peninsular Malaysia]
-
A.
rankingByLengthInPeninsularMalaysia
chosen
Indicates a ranking relationship among items based on their lengths, specifically within the context of Peninsular Malaysia.
-
B.
areaRankInMalaysia
Indicates the relative position of an entity in a size-based ranking by area within Malaysia.
-
C.
rankByLengthInAsia
Indicates that entities are ordered or compared based on their length within the context of Asia.
-
D.
statusInMalaysia
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Malaysia.
-
E.
nearCityOnMalaysianSide
Indicates that one entity is located close to a particular city that lies on the Malaysian side of a border or region.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6108530c819084559f4de669ce20 |
completed | April 1, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:51 p.m.