Triple
T18987634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartan–Persian War |
E464596
|
entity |
| Predicate | objectiveOfSparta |
P134034
|
FINISHED |
| Object | control over Greek cities in Asia Minor |
—
|
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: control over Greek cities in Asia Minor | Statement: [Spartan–Persian War, objectiveOfSparta, control over Greek cities in Asia Minor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectiveOfSparta Context triple: [Spartan–Persian War, objectiveOfSparta, control over Greek cities in Asia Minor]
-
A.
aimOfRome
Indicates that something is the goal, purpose, or intended objective of Rome.
-
B.
objectiveOfEgypt
Indicates that something is the goal, aim, or intended outcome pursued by Egypt.
-
C.
goalOfDoctrine
Indicates that a specified objective or end state is the intended goal or purpose of a particular doctrine.
-
D.
primaryObjectiveOfEmpire
Indicates the main strategic goal or overarching purpose that an empire seeks to achieve or maintain.
-
E.
educationalObjective
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6618ab881909c0ed94930e42e68 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:01 p.m.