Triple
T10507054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden |
E247813
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Boylston |
E519717
|
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: Boylston | Statement: [Holden, adjacentTo, Boylston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boylston Context triple: [Holden, adjacentTo, Boylston]
-
A.
Boylston
Boylston is an MBTA Green Line subway station located near Boston Common in downtown Boston, Massachusetts.
-
B.
Boylston, Massachusetts
chosen
Boylston, Massachusetts is a small New England town in Worcester County known for its rural character, Wachusett Reservoir, and historic village center.
-
C.
Boston Common
Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
-
D.
Norwell
Norwell is a suburban town in Plymouth County, Massachusetts, known for its residential character, conservation land, and location along the North River.
-
E.
Allston, Massachusetts
Allston, Massachusetts is a vibrant Boston neighborhood known for its large student population, diverse immigrant communities, and growing innovation and arts scene.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b17cd88190b37e41b3ce2b4b16 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 |
completed | April 12, 2026, 3:14 p.m. |
Created at: April 6, 2026, 12:26 p.m.