Triple
T15876398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cox’s Bazar refugee camps |
E384962
|
entity |
| Predicate | majorInfluxYear |
P19548
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Cox’s Bazar refugee camps, majorInfluxYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorInfluxYear Context triple: [Cox’s Bazar refugee camps, majorInfluxYear, 2017]
-
A.
majorExpositionYear
Indicates the year in which a major exposition, exhibition, or similar large-scale public event took place or was held.
-
B.
majorStudyYear
Indicates the academic year in which an entity (typically a student) is primarily engaged in a particular course of study or major.
-
C.
majorRevisionYear
Indicates the year in which a significant or primary revision of something (such as a work, document, or standard) was made.
-
D.
majorCrisisYear
chosen
Indicates the year in which a major crisis occurred or was most prominently manifested.
-
E.
focusesOnYears
Indicates that something is primarily concerned with or directed toward specific years or time periods.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.