Triple
T34000316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierkidi refugee camp |
E871797
|
entity |
| Predicate | receivesAssistanceFrom |
P48964
|
FINISHED |
| Object | World Food Programme |
—
|
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: World Food Programme | Statement: [Tierkidi refugee camp, receivesAssistanceFrom, World Food Programme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesAssistanceFrom Context triple: [Tierkidi refugee camp, receivesAssistanceFrom, World Food Programme]
-
A.
soughtAssistanceFrom
Indicates that one entity actively requested help, support, or guidance from another entity.
-
B.
assistanceMayInclude
Indicates that one entity’s assistance to another can optionally encompass or involve a specified type, component, or aspect of help.
-
C.
victimGroupAssisted
Indicates that assistance, support, or aid is provided to a group identified as victims.
-
D.
wasAssistedBy
chosen
Indicates that an entity carried out an action or achieved a result with the help or support of another entity.
-
E.
assistance
Indicates providing help, support, or aid from one entity to another to facilitate a task, goal, or need.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 1, 2026, 1:50 a.m.