Triple
T30603556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quwwāt Sūriyā al-Dīmuqrāṭīya |
E778974
|
entity |
| Predicate | hasStatedGoal |
P32840
|
FINISHED |
| Object | defeat of ISIS in Syria |
—
|
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: defeat of ISIS in Syria | Statement: [Quwwāt Sūriyā al-Dīmuqrāṭīya, hasStatedGoal, defeat of ISIS in Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatedGoal Context triple: [Quwwāt Sūriyā al-Dīmuqrāṭīya, hasStatedGoal, defeat of ISIS in Syria]
-
A.
hasPlanningGoal
Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
-
B.
hasProgramGoal
Indicates that an entity (such as a program or initiative) is associated with a specific intended goal or objective it aims to achieve.
-
C.
hadGoal
Indicates that an entity previously possessed or pursued a particular goal or objective.
-
D.
statedAsGoalFor
chosen
Indicates that something has been explicitly declared or identified as a goal for a particular entity or context.
-
E.
hasFictionalGoal
Indicates that an entity is associated with a goal or objective that exists only within a fictional, imagined, or narrative context.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: April 29, 2026, 8:25 p.m.