Triple
T20357955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baba Amr district |
E496699
|
entity |
| Predicate | startTimeOfMajorClashes |
P92660
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Baba Amr district, startTimeOfMajorClashes, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMajorClashes Context triple: [Baba Amr district, startTimeOfMajorClashes, 2011]
-
A.
startOfMajorConflict
chosen
Indicates that one event marks the beginning or initial outbreak of a major conflict between parties.
-
B.
timeOfMajorBattle
Indicates the specific time at which a major battle took place.
-
C.
endDateOfMajorBattle
Indicates the calendar date on which a major battle or significant military engagement came to an end.
-
D.
numberOfMajorBattles
Indicates the total count of significant or major battles associated with an entity or event.
-
E.
historicalPeriodOfMajorContact
Indicates the historical time period during which the most significant or intensive contact occurred between the related entities.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67855c3a88190b88839a47d01184d |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:25 a.m.