Triple
T6452924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia City |
E139914
|
entity |
| Predicate | touristCharacter |
P71088
|
FINISHED |
| Object | Old West-themed main street with saloons and wooden sidewalks |
—
|
LITERAL 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: Old West-themed main street with saloons and wooden sidewalks | Statement: [Virginia City, touristCharacter, Old West-themed main street with saloons and wooden sidewalks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristCharacter Context triple: [Virginia City, touristCharacter, Old West-themed main street with saloons and wooden sidewalks]
-
A.
featuresCharacterMeetAndGreets
Indicates that the subject offers opportunities for visitors to meet and interact with characters in organized meet-and-greet sessions.
-
B.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
C.
visitedByCharacter
Indicates that a location or place is visited or physically gone to by a specific character.
-
D.
touristAccess
Indicates that a place or resource is available for use or visitation by tourists.
-
E.
touristGatewayTo
Indicates a relationship where one place serves as the primary access point or entry hub for tourists visiting another place.
- F. None of above. chosen
Provenance (4 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d1c7c481909df9d2369edf5e74 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c068cb3b888190812ed56f2fdd45ed |
completed | March 22, 2026, 10:10 p.m. |
Created at: March 22, 2026, 4:47 p.m.