Triple
T639060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the T |
E16690
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Medford |
E9996
|
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: Medford | Statement: [the T, regionServed, Medford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medford Context triple: [the T, regionServed, Medford]
-
A.
Medford, Massachusetts
chosen
Medford, Massachusetts is a historic city just northwest of Boston, known for being the home of Tufts University and for its role in early American colonial and industrial history.
-
B.
Needham
Needham is a suburban town in Norfolk County, Massachusetts, located southwest of downtown Boston and known for its residential character and strong public schools.
-
C.
Acton
Acton is a suburban town in Middlesex County, Massachusetts, known for its residential communities, conservation land, and commuter access to Boston.
-
D.
Andover
Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
-
E.
Andover
Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f00260081909d1a679182e23d10 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb39a387c8190b5c1f4876532e376 |
completed | March 9, 2026, 11:48 a.m. |
Created at: March 1, 2026, 7:35 p.m.