Triple
T30918675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rally of Forces for Change |
E787656
|
entity |
| Predicate | armedAgainst |
P170298
|
FINISHED |
| Object | Chadian state |
—
|
NE NERFINISHED |
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: Chadian state | Statement: [Rally of Forces for Change, armedAgainst, Chadian state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armedAgainst Context triple: [Rally of Forces for Change, armedAgainst, Chadian state]
-
A.
armed
Indicates that an entity is equipped with or carrying a weapon or weapons.
-
B.
arms
Indicates that one entity supplies weapons or military equipment to another entity.
-
C.
weaponUsedAgainst
Indicates that a particular weapon or instrument is employed in an act of aggression, attack, or harm directed toward a specific target or entity.
-
D.
armedBy
Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
-
E.
builtToDefendAgainst
Indicates that something was constructed or designed specifically for the purpose of protecting against or countering a particular threat, entity, or type of attack.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692b3c17881908e10d82b78be94a8 |
completed | May 3, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68c517f308190873c1c7e05a0c6d0 |
completed | May 2, 2026, 11:44 p.m. |
Created at: April 29, 2026, 8:51 p.m.