Triple
T25061298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acre Prison |
E627664
|
entity |
| Predicate | countryDuringMandateUse |
P41268
|
FINISHED |
| Object | Mandatory Palestine |
E216403
|
NE 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: Mandatory Palestine | Statement: [Acre Prison, countryDuringMandateUse, Mandatory Palestine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryDuringMandateUse Context triple: [Acre Prison, countryDuringMandateUse, Mandatory Palestine]
-
A.
countryOfSymbolicUse
Indicates the country in which something (such as a symbol, object, or element) is used in a symbolic or representative way.
-
B.
countryDuring
chosen
Indicates that one entity exists, occurs, or is valid within the temporal span during which the other entity is recognized as a specific country.
-
C.
countryAtTheTime
Indicates that an entity is associated with a specific country as it existed at a particular point in time.
-
D.
countryImplements
Indicates that a country puts into effect, enforces, or carries out a specific policy, law, agreement, standard, or measure.
-
E.
countryAnnexedBy
Indicates that a country has been taken over and incorporated into the territory of another state through annexation.
- F. None of above.
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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105cea0980819098b7228fe9a12d39 |
completed | May 22, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 18, 2026, 6:10 a.m.