Triple
T17686081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Talbot Parkway railway station |
E440890
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | PTA |
—
|
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: PTA | Statement: [Port Talbot Parkway railway station, hasStationCode, PTA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PTA Context triple: [Port Talbot Parkway railway station, hasStationCode, PTA]
-
A.
PTA
chosen
PTA is the National Rail station code for Port Talbot Parkway railway station in Port Talbot, Wales.
-
B.
PTA
PTA is the government agency responsible for overseeing and operating public transport services across Western Australia.
-
C.
PTU
PTU is the vehicle registration code used on car license plates issued in Turek, a town in central Poland.
-
D.
PTK
PTK is the Indian Railways station code for Pathankot Junction, a major railway hub in the northern Indian state of Punjab.
-
E.
PATA
PATA is an older computer interface standard used to connect storage devices like hard drives and optical drives to a motherboard using parallel data transmission.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47047d90c8190a172201f3de6db87 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:02 a.m.