Triple
T36001458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi denaturalization law of 1950 |
E1041142
|
entity |
| Predicate | mainDestinationOfEmigrants |
P43380
|
FINISHED |
| Object | Israel |
—
|
NE NERFINISHED |
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: Israel | Statement: [Iraqi denaturalization law of 1950, mainDestinationOfEmigrants, Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDestinationOfEmigrants Context triple: [Iraqi denaturalization law of 1950, mainDestinationOfEmigrants, Israel]
-
A.
mainDeportationDestination
Indicates the primary location to which individuals are deported in a given deportation event or process.
-
B.
hasSignificantEmigrationTo
chosen
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
-
C.
countryOfEmigration
Indicates the country from which a person or group has emigrated or moved away.
-
D.
immigrationDestinationFor
Indicates that a location serves as the destination to which an entity immigrates.
-
E.
carriedImmigrantsFrom
Indicates that one entity transported immigrants from a specified origin location to another place.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.