Triple
T32865534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senai |
E840636
|
entity |
| Predicate | distanceToJohorBahru |
P92441
|
FINISHED |
| Object | approximately 25 kilometres northwest |
—
|
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 25 kilometres northwest | Statement: [Senai, distanceToJohorBahru, approximately 25 kilometres northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToJohorBahru Context triple: [Senai, distanceToJohorBahru, approximately 25 kilometres northwest]
-
A.
distanceToJohorBahruCityCentre
chosen
Indicates the spatial distance between an entity and the city center of Johor Bahru.
-
B.
distanceFromKualaLumpur
Indicates the spatial distance between a given location or entity and Kuala Lumpur.
-
C.
distanceFromMalaysia
Indicates the measured spatial distance between a given entity and the country of Malaysia.
-
D.
distanceToAlorSetar_km
Indicates the distance, measured in kilometers, from a given location to Alor Setar.
-
E.
distanceToKLIA
Indicates the measured distance between a given location and Kuala Lumpur International Airport (KLIA).
- 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:17 a.m.