Triple
T1031229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A30 road |
E22254
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Andover |
E182020
|
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: Andover | Statement: [A30 road, passesNear, Andover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andover Context triple: [A30 road, passesNear, Andover]
-
A.
Andover
chosen
Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
-
B.
Andover
Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
-
C.
Andover, Maine
Andover, Maine is a small rural town in Oxford County known for its scenic western Maine mountains, outdoor recreation, and historic New England character.
-
D.
North Andover
North Andover is a suburban town in northeastern Massachusetts known for its residential character, historic sites, and proximity to the city of Lawrence.
-
E.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b810429081908a97014ca740824b |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b528071e488190ac531404dac9587c |
completed | March 14, 2026, 9:19 a.m. |
Created at: March 1, 2026, 7:41 p.m.