Triple
T4420712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Country-Based Pooled Funds |
E95089
|
entity |
| Predicate | allocationsBasedOn |
P37407
|
FINISHED |
| Object | identified humanitarian needs |
—
|
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: identified humanitarian needs | Statement: [Country-Based Pooled Funds, allocationsBasedOn, identified humanitarian needs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocationsBasedOn Context triple: [Country-Based Pooled Funds, allocationsBasedOn, identified humanitarian needs]
-
A.
allocatesAccordingTo
chosen
Indicates that one entity distributes or assigns resources, tasks, or responsibilities to others based on a specified rule, criterion, or plan.
-
B.
allocates
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
-
C.
seatsAllocatedBy
Indicates that seats are assigned or distributed by a particular agent, authority, or mechanism.
-
D.
allottedBy
Indicates that something has been assigned, distributed, or allocated by a particular agent or authority.
-
E.
allocatesToCountry
Indicates that a resource, amount, or responsibility is assigned or distributed to a specific country.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35521e020819099e72b9e2ccbd36d |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.