Triple
T596421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RALE |
E17392
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Alewife station |
E35959
|
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: Alewife station | Statement: [RALE, serves, Alewife station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alewife station Context triple: [RALE, serves, Alewife station]
-
A.
Alewife station
chosen
Alewife station is a major Boston-area transit hub that serves as the northern terminus of the MBTA Red Line and a key connection point for numerous bus routes.
-
B.
Waban station
Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
-
C.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
D.
Edison station
Edison station is a New Jersey Transit commuter rail stop on the Northeast Corridor Line serving the township of Edison, New Jersey.
-
E.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6786f051481909474159c0e1f886c |
completed | March 3, 2026, 5:58 a.m. |
Created at: March 1, 2026, 7:33 p.m.