Triple
T5025853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frijoles Canyon |
E112971
|
entity |
| Predicate | earliestMajorOccupation |
P60589
|
FINISHED |
| Object | circa 1150 CE |
—
|
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: circa 1150 CE | Statement: [Frijoles Canyon, earliestMajorOccupation, circa 1150 CE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestMajorOccupation Context triple: [Frijoles Canyon, earliestMajorOccupation, circa 1150 CE]
-
A.
earliestOccupation
Indicates that the associated occupation is the first or earliest known job or professional role held by the person in question.
-
B.
earlyOccupation
Indicates that an entity held a particular occupation or job during an early stage of its life or career.
-
C.
earliestOccupationDate
Indicates the earliest known date on which an entity began a particular occupation or role.
-
D.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
E.
sonOccupation
Indicates that a specified occupation is the job or professional role held by a person's son.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736a0f8c819091d06275954329e9 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd724ff2b4819091351cf80d3647a1 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:36 p.m.