Triple
T24812514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siege of Diriyah |
E620825
|
entity |
| Predicate | combatantStrengthSaudiSide |
P1404
|
FINISHED |
| Object | several thousand defenders |
—
|
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: several thousand defenders | Statement: [siege of Diriyah, combatantStrengthSaudiSide, several thousand defenders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantStrengthSaudiSide Context triple: [siege of Diriyah, combatantStrengthSaudiSide, several thousand defenders]
-
A.
combatantStrength
chosen
Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
-
B.
sideInBattleOfYarmouk
Indicates that an entity participated as a side (belligerent) in the Battle of Yarmouk.
-
C.
commandingForceSize
Indicates the size or magnitude of the military or organizational force that is exercising command or control in a given context.
-
D.
strategicPartnerForces
Indicates a formal alliance in which one force provides coordinated military or security support to another as part of a shared strategic objective.
-
E.
sideInBattleOfBadr
Indicates the role or allegiance an entity had on a particular side during the Battle of Badr.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:51 a.m.