Triple
T716376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haverhill Line |
E14322
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Reading station |
E43445
|
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: Reading station | Statement: [Haverhill Line, hasStation, Reading station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reading station Context triple: [Haverhill Line, hasStation, Reading station]
-
A.
Reading railway station
chosen
Reading railway station is a major railway hub in Berkshire, England, serving as a key interchange on the Great Western Main Line and other routes.
-
B.
NS Stations
NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
-
C.
Main Terminal Station
Main Terminal Station is the primary AeroTrain stop serving the airport’s central passenger terminal complex.
-
D.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
E.
Jubany Station
Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a57649dc8190bfdee2f9c0c90415 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb5578c8190b5380f1994fdb4d2 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:37 p.m.