Triple
T11611768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supplementary Feeding Program |
E275399
|
entity |
| Predicate | priorityGroup |
P100597
|
FINISHED |
| Object | children from poor households |
—
|
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: children from poor households | Statement: [Supplementary Feeding Program, priorityGroup, children from poor households]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: priorityGroup Context triple: [Supplementary Feeding Program, priorityGroup, children from poor households]
-
A.
managementPriority
Indicates the relative level of importance or urgency assigned to managing or addressing a particular entity, issue, or task.
-
B.
planningPriority
Indicates the relative importance or urgency assigned to an item, task, or objective when organizing or scheduling plans.
-
C.
priorityBenefit
Indicates that one benefit takes precedence over or is considered more important than another in a given context.
-
D.
prioritises
Indicates that one entity gives greater importance, preference, or precedence to another entity or task over alternatives.
-
E.
missionPriority
Indicates the relative level of importance or urgency assigned to a mission compared to other missions or tasks.
- F. None of above. chosen
Provenance (4 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.