Triple
T23018805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GAANN |
E573106
|
entity |
| Predicate | areasOfNationalNeedInclude |
P60745
|
FINISHED |
| Object | STEM fields |
—
|
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: STEM fields | Statement: [GAANN, areasOfNationalNeedInclude, STEM fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areasOfNationalNeedInclude Context triple: [GAANN, areasOfNationalNeedInclude, STEM fields]
-
A.
recognizedNeedFor
Indicates that one entity has identified or acknowledged the necessity or requirement for another entity or condition.
-
B.
commonPolicyArea
Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
-
C.
infrastructureNeed
Indicates that an entity requires the development, improvement, or provision of infrastructure to meet its functional or operational needs.
-
D.
emergencyPlanningFocus
Indicates that the primary emphasis or subject of emergency planning activities is directed toward a particular entity or aspect.
-
E.
policyAreaScope
chosen
Indicates the specific policy domain or thematic area to which an action, decision, or measure is relevant or applies.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e777cc81908c0b0bfd9d5a717c |
completed | April 29, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:52 p.m.