Triple
T2045403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris, Maine |
E45438
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | South Paris, Maine |
E45438
|
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: South Paris, Maine | Statement: [Paris, Maine, hasVillage, South Paris, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Paris, Maine Context triple: [Paris, Maine, hasVillage, South Paris, Maine]
-
A.
Paris, Maine
chosen
Paris, Maine is a small town in western Maine that serves as the administrative and commercial center of Oxford County.
-
B.
Springfield, Maine
Springfield, Maine is a small rural town located in Penobscot County in eastern Maine, known for its forested landscape and quiet, sparsely populated setting.
-
C.
Buckfield, Maine
Buckfield, Maine is a small rural town in western Maine known for its historic village center and location within Androscoggin County.
-
D.
Cambridge, Maine
Cambridge, Maine is a small rural town in central Maine known for its quiet, forested landscape and location within Somerset County.
-
E.
Rumford, Maine
Rumford, Maine is a small mill town in western Maine known for its paper industry heritage and proximity to outdoor recreation in the surrounding mountains and rivers.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9728f688190939d7c4df524f9b4 |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6ae88ad08190a0a638cad2566f2e |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:39 p.m.