Triple
T10563827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi Marsh Arabs |
E249295
|
entity |
| Predicate | post2003Development |
P86290
|
FINISHED |
| Object | partial marshland restoration |
—
|
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: partial marshland restoration | Statement: [Iraqi Marsh Arabs, post2003Development, partial marshland restoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: post2003Development Context triple: [Iraqi Marsh Arabs, post2003Development, partial marshland restoration]
-
A.
postReformDevelopment
Indicates the development or changes that occur after a reform has been implemented.
-
B.
development
Indicates a process or relationship in which something grows, advances, or becomes more complex or mature over time.
-
C.
developsDuring
chosen
Indicates that one process, condition, or characteristic comes into existence or forms over the course of a specified time period, phase, or event.
-
D.
showsDevelopmentOf
Indicates that one entity presents, illustrates, or makes evident the growth, progression, or evolution of another entity over time.
-
E.
developmentFrom
Indicates that one entity arises, evolves, or is derived over time from another entity as a result of a developmental process.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527224b808190b996ae970393f9c3 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:36 p.m.