Triple
T36940386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Darfur |
E913742
|
entity |
| Predicate | hasHumanitarianCrisis |
P93977
|
FINISHED |
| Object | Darfur conflict |
—
|
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: Darfur conflict | Statement: [East Darfur, hasHumanitarianCrisis, Darfur conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHumanitarianCrisis Context triple: [East Darfur, hasHumanitarianCrisis, Darfur conflict]
-
A.
humanitarianCrisis
Indicates a situation in which a population faces severe, widespread threats to life, health, or basic living conditions that require urgent humanitarian assistance.
-
B.
hasHumanitarianPresence
Indicates that a humanitarian organization or effort is present and actively operating in relation to the referenced entity.
-
C.
hasHumanitarianAspect
Indicates that something involves, relates to, or has implications for humanitarian concerns such as human welfare, relief, or the protection of human rights.
-
D.
typeOfCrisis
chosen
Indicates the specific category or nature of a crisis that an entity is experiencing or associated with.
-
E.
humanitarianAccess
Indicates that humanitarian actors are able to reach affected populations and deliver assistance safely, reliably, and without obstruction.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.