Triple
T1377444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine |
E29256
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lewiston |
E180379
|
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: Lewiston | Statement: [Maine, contains, Lewiston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewiston Context triple: [Maine, contains, Lewiston]
-
A.
Lewiston, Maine
chosen
Lewiston, Maine is a former mill city in south-central Maine known for its Franco-American heritage, revitalized downtown, and role as a regional economic and cultural center.
-
B.
Lewiston, Idaho
Lewiston, Idaho is a small city in north-central Idaho known as a key port on the Snake River and a regional hub for the Inland Northwest.
-
C.
Gardiner
Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
-
D.
Farmington, Maine
Farmington, Maine is a small town in western Maine that serves as the service and cultural center of Franklin County and is home to the University of Maine at Farmington.
-
E.
Leominster
Leominster is a historic market town in Herefordshire, England, known for its medieval architecture and agricultural heritage.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02f56b348190b71875b0c839c729 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 1, 2026, 7:59 p.m.