Triple
T5220136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Montana |
E117849
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Deer Lodge |
E504091
|
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: Deer Lodge | Statement: [Western Montana, hasCity, Deer Lodge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deer Lodge Context triple: [Western Montana, hasCity, Deer Lodge]
-
A.
Deer Lodge
chosen
Deer Lodge is a small historic city in western Montana known for its former state prison and role as a regional cultural and economic center.
-
B.
Red Lodge
Red Lodge is a small village and civil parish in Suffolk, England, known for its modern residential development and proximity to Newmarket.
-
C.
Alta Dena Ranch
Alta Dena Ranch was a historic ranch in Southern California whose name inspired the nearby community of Altadena.
-
D.
Wuksachi Lodge
Wuksachi Lodge is a year-round mountain hotel and main visitor accommodation located in Sequoia National Park, California.
-
E.
Strathearn
Strathearn is a scenic valley region in central Scotland, known for its rural landscapes, historic towns, and the River Earn running through it.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ab846548190bcd2c5cd238f6cd9 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8059c808190aac709a199541ce7 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:48 p.m.