Triple
T9040486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucson Train |
E216611
|
entity |
| Predicate | hasMotif |
P2366
|
FINISHED |
| Object | American West |
E6881
|
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: American West | Statement: [Tucson Train, hasMotif, American West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American West Context triple: [Tucson Train, hasMotif, American West]
-
A.
Old West
chosen
The Old West refers to the 19th-century American frontier era characterized by westward expansion, cowboys, lawlessness, and conflicts between settlers, Native Americans, and outlaws.
-
B.
Western
Western is a Canadian public research university located in London, Ontario, known for its strong programs in business, health sciences, and social sciences.
-
C.
Western
Western is a film genre typically set in the American frontier, featuring cowboys, outlaws, lawmen, and themes of rugged individualism, justice, and survival in a harsh, lawless landscape.
-
D.
Western
Western is a Chicago 'L' rapid transit station on the CTA Pink Line serving the city's West Side.
-
E.
West
West is a prominent American legal publishing company best known for producing case law reporters, legal research tools, and the Westlaw online database.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b100a348190a59abd6e9b815c63 |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb98e6008190a73c76c50aa7ed23 |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.