Triple
T37326335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell el-Farkha |
E926612
|
entity |
| Predicate | hasLatestMajorOccupation |
P89754
|
FINISHED |
| Object | Early Dynastic Period |
—
|
NE NERFINISHED |
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: Early Dynastic Period | Statement: [Tell el-Farkha, hasLatestMajorOccupation, Early Dynastic Period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLatestMajorOccupation Context triple: [Tell el-Farkha, hasLatestMajorOccupation, Early Dynastic Period]
-
A.
hasPastOccupation
Indicates that an entity previously held a particular job, role, or occupation in the past.
-
B.
latestMajorOccupation
chosen
Indicates the most recent primary job or profession held by an entity.
-
C.
latestOccupationDate
Indicates the most recent date on which an entity held or started a particular occupation or job.
-
D.
latestOccupation
Indicates the most recent job, role, or position that an entity currently holds or last held.
-
E.
hasMajorEmployerHistory
Indicates that an entity has a documented history of employment with a major or significant employer.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:16 p.m.