Triple
T17579141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mullaitivu |
E428151
|
entity |
| Predicate | dateCapturedBySriLankaArmy |
P10180
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Mullaitivu, dateCapturedBySriLankaArmy, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateCapturedBySriLankaArmy Context triple: [Mullaitivu, dateCapturedBySriLankaArmy, 1996]
-
A.
capturedAt
Indicates the specific time or moment at which an entity was captured, recorded, or taken.
-
B.
hasCaptureDate
Indicates the date on which something (such as an image, video, or data sample) was originally captured or recorded.
-
C.
recaptureDate
Indicates the date on which something that was previously captured or held is captured or taken back again.
-
D.
dateOfCityCapture
chosen
Indicates the specific date on which a city was taken or captured, typically in a military or political context.
-
E.
capturedBy
Indicates that one entity has been seized, taken into control, or otherwise apprehended by 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463cc493c8190965680cf786aa531 |
completed | April 19, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.