Triple
T10703613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democratic Revolutionary Front for the Liberation of Arabistan |
E252341
|
entity |
| Predicate | areaClaimed |
P647
|
FINISHED |
| Object | oil-rich region of Khuzestan |
—
|
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: oil-rich region of Khuzestan | Statement: [Democratic Revolutionary Front for the Liberation of Arabistan, areaClaimed, oil-rich region of Khuzestan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaClaimed Context triple: [Democratic Revolutionary Front for the Liberation of Arabistan, areaClaimed, oil-rich region of Khuzestan]
-
A.
claimsTerritory
chosen
Indicates that one entity asserts ownership, control, or sovereign rights over a specific geographic area or region.
-
B.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
C.
capitalClaimed
Indicates that an entity asserts or designates another entity as its capital.
-
D.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
E.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fdddf258819097b9fd26d68cd2e4 |
completed | April 9, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8ea6408190a800f9cb57372189 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:12 p.m.