Triple
T10433558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ad-Duheisha Camp |
E245978
|
entity |
| Predicate | originalRefugeesFrom |
P47614
|
FINISHED |
| Object | villages west of Jerusalem |
—
|
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: villages west of Jerusalem | Statement: [Ad-Duheisha Camp, originalRefugeesFrom, villages west of Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRefugeesFrom Context triple: [Ad-Duheisha Camp, originalRefugeesFrom, villages west of Jerusalem]
-
A.
originalRefugeeOrigin
chosen
Indicates the place or country from which a refugee initially fled or was displaced.
-
B.
wasRefugee
Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
-
C.
primaryRefugeeGroup
Indicates that the referenced group is the main or principal group of refugees associated with a particular context, event, or record.
-
D.
approximateNumberOfRefugeesTransported
Indicates an estimated count of refugees who were transported in the described event or context.
-
E.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea65afe08190b91260c9267a0f14 |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:14 p.m.