Triple
T11014585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LRT Ampang Line |
E260330
|
entity |
| Predicate | system |
P730
|
FINISHED |
| Object | Rapid KL LRT |
E842364
|
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: Rapid KL LRT | Statement: [LRT Ampang Line, system, Rapid KL LRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rapid KL LRT Context triple: [LRT Ampang Line, system, Rapid KL LRT]
-
A.
Rapid KL LRT
chosen
Rapid KL LRT is Kuala Lumpur’s main urban light rail transit system, providing high-capacity rail services across the city and surrounding areas.
-
B.
Rapid KL
Rapid KL is the main public transportation network operator in the Klang Valley region of Malaysia, managing urban rail and bus services including several key light rail transit lines.
-
C.
LRTA
LRTA is the public transportation agency that operates bus and paratransit services in Lowell, Massachusetts and surrounding communities.
-
D.
Whittle likelihood
The Whittle likelihood is an approximate likelihood function used in time series analysis that simplifies inference for stationary stochastic processes by working in the frequency domain.
-
E.
KCLT
KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a49f648190a5144625d09dec6f |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374c238ac81908e0a5eff958d6545 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.