Triple
T32929614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid KL LRT |
E842364
|
entity |
| Predicate | notableHubStation |
P48123
|
FINISHED |
| Object | Masjid Jamek station |
E896705
|
NE 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: Masjid Jamek station | Statement: [Rapid KL LRT, notableHubStation, Masjid Jamek station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHubStation Context triple: [Rapid KL LRT, notableHubStation, Masjid Jamek station]
-
A.
notableHub
Indicates that an entity serves as a significant central point or focal location for activities, connections, or influence within a particular context.
-
B.
notableHubExample
Indicates that an entity serves as a prominent or illustrative central point (hub) within a network, system, or context.
-
C.
hasNotableStation
chosen
Indicates that an entity possesses or is associated with a station that is considered notable or significant in some context.
-
D.
notableChannel
Indicates that a channel is recognized as particularly significant, prominent, or noteworthy in some context.
-
E.
notableStand
Indicates that an entity is particularly well-known or distinguished for a specific stance, position, or viewpoint.
- F. None of above.
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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c6a8b0888190a7a7baa2f9289caa |
completed | June 19, 2026, 4:33 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:20 a.m.