Triple
T1341341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Head Start program |
E28469
|
entity |
| Predicate | priorityGivenTo |
P7594
|
FINISHED |
| Object | children with disabilities |
—
|
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 with disabilities | Statement: [Head Start program, priorityGivenTo, children with disabilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: priorityGivenTo Context triple: [Head Start program, priorityGivenTo, children with disabilities]
-
A.
missionPriority
Indicates the relative level of importance or urgency assigned to a mission compared to other missions or tasks.
-
B.
typeOfPriority
Indicates the specific priority level or category assigned to something relative to other items or tasks.
-
C.
primaryCriterion
chosen
Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
-
D.
primeMinisterDesignationPriority
Indicates the order of precedence or priority assigned when designating or appointing a prime minister among eligible candidates or options.
-
E.
primaryTask
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c215fc008190b01fd8150b9f3b2a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.