Triple
T13152030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 Battle of Basra |
E312488
|
entity |
| Predicate | isConflictBetween |
P4897
|
FINISHED |
| Object | Iraqi government forces and Shiite militias |
—
|
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: Iraqi government forces and Shiite militias | Statement: [2007 Battle of Basra, isConflictBetween, Iraqi government forces and Shiite militias]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConflictBetween Context triple: [2007 Battle of Basra, isConflictBetween, Iraqi government forces and Shiite militias]
-
A.
triggersConflict
Indicates that one entity initiates or causes a dispute, clash, or incompatibility to arise with another entity or within a system.
-
B.
conflictWith
chosen
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
-
C.
conflictedBetween
Indicates being torn or uncertain between two or more options, positions, or commitments.
-
D.
hasConflictStatus
Indicates that there exists a state of conflict or dispute associated with the relationship between the involved entities.
-
E.
hasConflictScale
Indicates the degree or intensity of conflict present in a given relationship, situation, or interaction.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:11 p.m.