Triple
T6754100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Myriokephalon |
E154409
|
entity |
| Predicate | campaignObjectiveByzantine |
P50135
|
FINISHED |
| Object | reconquest of central Anatolia |
—
|
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: reconquest of central Anatolia | Statement: [Battle of Myriokephalon, campaignObjectiveByzantine, reconquest of central Anatolia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignObjectiveByzantine Context triple: [Battle of Myriokephalon, campaignObjectiveByzantine, reconquest of central Anatolia]
-
A.
campaignObjectiveContext
Indicates the specific situational or strategic context in which a campaign’s objective is defined or pursued.
-
B.
campaignObjectivePersian
Indicates the specific goal or intended outcome of a campaign, expressed in the Persian language.
-
C.
aimOfCampaign
chosen
Indicates that a campaign is directed toward achieving a particular goal or objective.
-
D.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
E.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:11 p.m.