Triple
T11234287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | new towns program of Egypt |
E265902
|
entity |
| Predicate | populationPolicyRole |
P14446
|
FINISHED |
| Object | redistribution of population |
—
|
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: redistribution of population | Statement: [new towns program of Egypt, populationPolicyRole, redistribution of population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationPolicyRole Context triple: [new towns program of Egypt, populationPolicyRole, redistribution of population]
-
A.
populationRole
Indicates the role or function that an entity has within a population or demographic context.
-
B.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
C.
demographicPolicy
chosen
Indicates a relationship where an authority or organization establishes or applies rules and measures intended to influence the size, structure, or composition of a population.
-
D.
urbanPolicyRole
Indicates a role or responsibility that an entity has in shaping, implementing, or influencing urban policy.
-
E.
countryNationalRole
Indicates the official function, position, or responsibility that an entity holds at the national level within a specific country.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e903b8ec81909f9c89776d35c650 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfdf7a88190aae21572e57ef208 |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.