Triple
T7622546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitchburg Line stations |
E172534
|
entity |
| Predicate | includeStation |
P726
|
FINISHED |
| Object | Ayer |
E820
|
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: Ayer | Statement: [Fitchburg Line stations, includeStation, Ayer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayer Context triple: [Fitchburg Line stations, includeStation, Ayer]
-
A.
Ayer
chosen
Ayer is a small town in north-central Massachusetts that functions as a regional commuter hub with rail connections to Boston.
-
B.
Düne
Düne is a small neighboring island of Helgoland in the North Sea, known for its sandy beaches, dunes, and seal colonies.
-
C.
Heute
Heute was an Austrian illustrated news magazine known for its photojournalistic coverage in the mid-20th century.
-
D.
Between Today and Yesterday
Between Today and Yesterday is a 1974 concept album by English musician Alan Price that reflects on working-class life and social change in Britain.
-
E.
Hodie
Hodie is a Christmas cantata by English composer Ralph Vaughan Williams that blends traditional carols with original choral and orchestral music.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c701731a288190b53ffc546a2f47d7 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868789618819094010e60ef73fdfd |
completed | March 28, 2026, 11:47 p.m. |
Created at: March 27, 2026, 3:56 p.m.