Triple
T18017036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Montana |
E431020
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Helena |
—
|
NE NERFINISHED |
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: Helena | Statement: [Southwestern Montana, hasCity, Helena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helena Context triple: [Southwestern Montana, hasCity, Helena]
-
A.
Helena
chosen
Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
-
B.
Helena
Helena is a fan-favorite, feral yet vulnerable clone and assassin from the TV series "Orphan Black," portrayed by Tatiana Maslany.
-
C.
Helena
Helena is a lovestruck young woman in Shakespeare’s comedy "A Midsummer Night’s Dream," known for her unrequited devotion to Demetrius and her role in the play’s romantic confusion.
-
D.
Helena
Helena is the middle name of Princess Eugenie of York, a member of the British royal family.
-
E.
Helena
"Helena" is a popular emo rock song by My Chemical Romance, known for its dramatic themes of loss and its iconic music video.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9be5d0c819097e006f32d98753a |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.