Triple
T14863167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMT Dunera |
E349548
|
entity |
| Predicate | treatmentOfInternees |
P115931
|
FINISHED |
| Object | overcrowded conditions |
—
|
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: overcrowded conditions | Statement: [HMT Dunera, treatmentOfInternees, overcrowded conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentOfInternees Context triple: [HMT Dunera, treatmentOfInternees, overcrowded conditions]
-
A.
wasSiteOfInternmentCamps
Indicates that the subject location served as a site where internment camps were established and operated.
-
B.
treatmentOfSovietPOWs
Indicates how individuals, groups, or authorities behaved toward, managed, or dealt with Soviet prisoners of war.
-
C.
internmentPeriod
Indicates the span of time during which an entity is held in internment or confinement.
-
D.
internmentDate
Indicates the date on which an individual was placed into internment or confinement.
-
E.
numberOfPrisonersDuringWar
Indicates the count of prisoners held during a specified war or wartime period.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded574d0ec8190a6afed672ba6c2f9 |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:54 a.m.