Triple
T25766315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghatafan |
E648892
|
entity |
| Predicate | notableOppositionEvent |
P190704
|
FINISHED |
| Object | coalition in Battle of the Trench |
—
|
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: coalition in Battle of the Trench | Statement: [Ghatafan, notableOppositionEvent, coalition in Battle of the Trench]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableOppositionEvent Context triple: [Ghatafan, notableOppositionEvent, coalition in Battle of the Trench]
-
A.
hasOppositionEvents
chosen
Indicates that there exist events in which one entity actively opposes, resists, or is in conflict with another entity.
-
B.
notableOppositionFormat
Indicates that there is a significant or historically notable form, style, or medium in which opposition or resistance to something is expressed.
-
C.
notableProtest
Indicates that an entity is recognized for having led, organized, or been centrally involved in a significant protest or demonstration.
-
D.
notableDebateMoment
Indicates a particularly significant or memorable moment that occurred during a debate, often cited or recalled as especially impactful.
-
E.
notableCampaign
Indicates that an entity is prominently associated with a particular campaign, such as by leading, featuring in, or being a key focus of that campaign.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 22, 2026, 5:10 a.m.