Triple
T11444401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harsud |
E271226
|
entity |
| Predicate | resettlementIssue |
P99327
|
FINISHED |
| Object | controversies over compensation and rehabilitation |
—
|
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: controversies over compensation and rehabilitation | Statement: [Harsud, resettlementIssue, controversies over compensation and rehabilitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resettlementIssue Context triple: [Harsud, resettlementIssue, controversies over compensation and rehabilitation]
-
A.
resettlementStart
Indicates the point in time when a process of relocating people or communities to a new place begins.
-
B.
majorResettlementArea
Indicates that a location serves as a primary or significant destination area where people are being resettled.
-
C.
settledAfterDeportationIn
Indicates that an entity established residence in a place following its deportation or forced removal.
-
D.
wasRefugee
Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
-
E.
immigrationReason
Indicates the reason or motivation behind an entity’s act of immigrating from one place to another.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088a66f48190b2b4a56cd62097cf |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d800115af08190bba53dd3ff561ca1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.