Triple
T18828435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaghi-Siyan |
E460455
|
entity |
| Predicate | tookAction |
P16081
|
FINISHED |
| Object | expelled many local Christians from Antioch before the siege |
—
|
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: expelled many local Christians from Antioch before the siege | Statement: [Yaghi-Siyan, tookAction, expelled many local Christians from Antioch before the siege]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookAction Context triple: [Yaghi-Siyan, tookAction, expelled many local Christians from Antioch before the siege]
-
A.
attemptedAction
Indicates that an entity made an effort to perform a particular action, regardless of whether the action was successfully completed.
-
B.
tookEffect
Indicates that a change, rule, condition, or event became active, operative, or started producing its intended consequences.
-
C.
undertook
chosen
Indicates that an entity assumed responsibility for starting and carrying out a task, project, or action.
-
D.
causeOfAction
Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
-
E.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99554848190933dd2810f5c810f |
completed | April 20, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.