Triple
T30320067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Dynasty of Kish |
E771173
|
entity |
| Predicate | hasHistoricalDiscipline |
P76319
|
FINISHED |
| Object | Assyriology |
—
|
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: Assyriology | Statement: [Second Dynasty of Kish, hasHistoricalDiscipline, Assyriology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalDiscipline Context triple: [Second Dynasty of Kish, hasHistoricalDiscipline, Assyriology]
-
A.
historicalDiscipline
chosen
Indicates that one entity is a field or branch of academic study within the broader domain of history in relation to another entity.
-
B.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
-
C.
historicalSpecialization
Indicates a relationship where an entity’s expertise, role, or function is specifically focused on a particular historical period, theme, or subject.
-
D.
hasHistoricalSection
Indicates that something includes a dedicated part or segment that presents historical information or context.
-
E.
hasResearchHistory
Indicates that an entity has a documented record of past research activities, projects, or studies.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: April 29, 2026, 7:52 p.m.