Triple
T26875627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baiji oil refinery |
E676739
|
entity |
| Predicate | yearOfMajorISILAssault |
P175968
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Baiji oil refinery, yearOfMajorISILAssault, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfMajorISILAssault Context triple: [Baiji oil refinery, yearOfMajorISILAssault, 2014]
-
A.
yearOfHalabjaAttack
Indicates the specific calendar year in which the Halabja attack took place.
-
B.
wasISILStronghold
Indicates that a location previously served as a stronghold or base of operations for ISIL (the Islamic State of Iraq and the Levant).
-
C.
numberOfFatalitiesIn2018Attack
Indicates the number of people who were killed in the attack that occurred in 2018.
-
D.
deadliestTerroristAttackIn
Indicates that a terrorist attack is the most lethal one that has occurred within a specified place or region.
-
E.
largestForeignAttackOn
Indicates that one event constitutes the greatest or most significant foreign attack experienced by a particular entity.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 27, 2026, 5:35 a.m.