Triple
T16948617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wars against the Seleucid Empire |
E411127
|
entity |
| Predicate | conflictGoal |
P125345
|
FINISHED |
| Object | secure political independence from Seleucid rule |
—
|
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: secure political independence from Seleucid rule | Statement: [Wars against the Seleucid Empire, conflictGoal, secure political independence from Seleucid rule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictGoal Context triple: [Wars against the Seleucid Empire, conflictGoal, secure political independence from Seleucid rule]
-
A.
conflictSpecific
Indicates a specific, concrete instance or type of conflict that exists between the related entities.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
settingOfConflict
Indicates the location or context in which a conflict between entities takes place.
-
D.
mainConflict
Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
-
E.
conflictRole
Indicates that an entity plays a specific role or position within a conflict or dispute between parties.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb4b1b08190b608d36a209ed6bd |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:31 a.m.