Triple
T18151142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bala Cynwyd |
E434503
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Bala station |
—
|
NE NERFINISHED |
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: Bala station | Statement: [Bala Cynwyd, servedBy, Bala station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bala station Context triple: [Bala Cynwyd, servedBy, Bala station]
-
A.
Bala station
chosen
Bala station is a regional rail stop in the Bala Cynwyd neighborhood of Philadelphia, Pennsylvania, served by SEPTA's Cynwyd Line.
-
B.
Bahraich railway station
Bahraich railway station is a regional rail hub in Bahraich, Uttar Pradesh, India, serving as a key transit point connecting the town to major cities in the state and beyond.
-
C.
Larkana Railway Station
Larkana Railway Station is a key rail transport hub serving the city of Larkana in Sindh, Pakistan.
-
D.
Landhi Railway Station
Landhi Railway Station is a major railway hub in the Landhi area of Karachi, Pakistan, serving as an important stop for intercity and commuter train services.
-
E.
Maharajalela station
Maharajalela station is an elevated monorail stop on Kuala Lumpur’s KL Monorail line serving the Maharajalela area near the city center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de38d4e08190bc4d430b70b7e288 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.