Triple
T27523434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yugoslav People’s Army barracks |
E694771
|
entity |
| Predicate | sometimesTargetedIn |
P162476
|
FINISHED |
| Object | Yugoslav Wars |
—
|
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: Yugoslav Wars | Statement: [Yugoslav People’s Army barracks, sometimesTargetedIn, Yugoslav Wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sometimesTargetedIn Context triple: [Yugoslav People’s Army barracks, sometimesTargetedIn, Yugoslav Wars]
-
A.
oftenTargetedBy
Indicates that an entity is frequently chosen or subjected as the object of another entity’s actions, attention, or attacks.
-
B.
targetedBecauseOf
Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
-
C.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
-
D.
sometimesEngageIn
Indicates that one entity engages in or performs an action or relationship with another entity on an occasional or intermittent basis, rather than consistently or always.
-
E.
isTargetIn
Indicates that a specified entity lies within, or is contained inside, a given target region, set, or scope.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f2d7040819094509bbe723ce9db |
completed | May 2, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69f623ac3a9c8190a6ee0c137b09e4b0 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 1:22 p.m.