Triple
T17449851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSA Pre✓ |
E424885
|
entity |
| Predicate | relatedProgram |
P37
|
FINISHED |
| Object | SENTRI |
—
|
NE NERFINISHED |
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: SENTRI | Statement: [TSA Pre✓, relatedProgram, SENTRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SENTRI Context triple: [TSA Pre✓, relatedProgram, SENTRI]
-
A.
SENTRI
chosen
SENTRI is a U.S. Customs and Border Protection trusted traveler program that provides expedited processing for pre-approved, low-risk travelers entering the United States at land border crossings.
-
B.
SENER
SENER is Mexico’s federal government ministry responsible for national energy policy, including the regulation and development of the country’s oil, gas, and electricity sectors.
-
C.
Tsentaroy
Tsentaroy is a village in the Chechen Republic of Russia, known as the ancestral home and power base of the Kadyrov family.
-
D.
SERNANP
SERNANP is Peru’s national authority responsible for managing and conserving the country’s system of protected natural areas.
-
E.
SATENA
SATENA is a Colombian state-owned regional airline that primarily serves remote and underserved areas across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513d00f48190802a3bdc8c8f4db5 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.