Triple
T4371248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ballad of Calico |
E98900
|
entity |
| Predicate | narrativeLocationType |
P55822
|
FINISHED |
| Object | fictional Nevada mining town |
—
|
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: fictional Nevada mining town | Statement: [The Ballad of Calico, narrativeLocationType, fictional Nevada mining town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeLocationType Context triple: [The Ballad of Calico, narrativeLocationType, fictional Nevada mining town]
-
A.
locationOfNarrative
Indicates the place or setting where the events or story described in the narrative occur.
-
B.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
C.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
-
D.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
E.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521dffbc8190b9300a7f4f64bdc0 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:17 p.m.