Triple
T9551442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kincaid Mounds |
E230429
|
entity |
| Predicate | latestMajorOccupation |
P89754
|
FINISHED |
| Object | circa 1400 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 1400 CE | Statement: [Kincaid Mounds, latestMajorOccupation, circa 1400 CE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latestMajorOccupation Context triple: [Kincaid Mounds, latestMajorOccupation, circa 1400 CE]
-
A.
representedOccupation
Indicates that one entity has served as an official or formal representative of another entity’s occupation or professional role.
-
B.
peakEmployment
Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
-
C.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
D.
earliestOccupation
Indicates that the associated occupation is the first or earliest known job or professional role held by the person in question.
-
E.
earliestMajorOccupation
Indicates the earliest significant occupation or professional role held by an entity in its life or career timeline.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd991df7308190a56d95f195627513 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:02 p.m.