Triple
T546725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passenger Rail Investment and Improvement Act of 2008 |
E12748
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | PRIIA |
E68232
|
NE 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: PRIIA | Statement: [Passenger Rail Investment and Improvement Act of 2008, acronym, PRIIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRIIA Context triple: [Passenger Rail Investment and Improvement Act of 2008, acronym, PRIIA]
-
A.
PRIIA
chosen
PRIIA is a U.S. federal law enacted in 2008 that provides funding, policy direction, and performance standards for intercity and high-speed passenger rail, including Amtrak.
-
B.
PIF
PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
-
C.
pir
A pir is a spiritual guide or master in Sufism who leads and mentors disciples on the mystical path to closeness with God.
-
D.
NIA
NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
-
E.
PRT
PRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Portugal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498e150e88190b35b1bc7a376ca07 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e02e0c1c81908fcb5356dc2b8f97 |
completed | March 2, 2026, 12:56 a.m. |
Created at: March 1, 2026, 7:32 p.m.