Triple
T32209642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nea Nikomedeia |
E822763
|
entity |
| Predicate | latestOccupationDate |
P173330
|
FINISHED |
| Object | c. 5500 BC |
—
|
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: c. 5500 BC | Statement: [Nea Nikomedeia, latestOccupationDate, c. 5500 BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latestOccupationDate Context triple: [Nea Nikomedeia, latestOccupationDate, c. 5500 BC]
-
A.
latestOccupation
Indicates the most recent job, role, or position that an entity currently holds or last held.
-
B.
earliestOccupationDate
Indicates the earliest known date on which an entity began a particular occupation or role.
-
C.
laterOccupationApproxDate
Indicates an approximate date or time period when a subject began a subsequent occupation or role after an earlier one.
-
D.
latestMajorOccupation
Indicates the most recent primary job or profession held by an entity.
-
E.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb91c24481908bec766e2ed19345 |
completed | May 3, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b42902a081909126c7322858a2b3 |
completed | May 3, 2026, 2:34 a.m. |
Created at: May 1, 2026, 12:37 a.m.