Triple
T28626823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maşat Höyük |
E724546
|
entity |
| Predicate | eraOfMajorOccupation |
P145778
|
FINISHED |
| Object | 2nd millennium BCE |
—
|
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: 2nd millennium BCE | Statement: [Maşat Höyük, eraOfMajorOccupation, 2nd millennium BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfMajorOccupation Context triple: [Maşat Höyük, eraOfMajorOccupation, 2nd millennium BCE]
-
A.
eraOfOccupation
chosen
Indicates the time period during which an occupation or role was held or practiced.
-
B.
latestMajorOccupation
Indicates the most recent primary job or profession held by an entity.
-
C.
representedOccupation
Indicates that one entity has served as an official or formal representative of another entity’s occupation or professional role.
-
D.
dominantOccupation
Indicates the primary type of work or profession that most characterizes an entity’s economic or labor activity.
-
E.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
- F. None of above.
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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 4:36 a.m.