Triple
T17231709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class B (Washington area) |
E418255
|
entity |
| Predicate | entryClearancePhraseology |
P126479
|
FINISHED |
| Object | cleared into the Bravo |
—
|
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: cleared into the Bravo | Statement: [Class B (Washington area), entryClearancePhraseology, cleared into the Bravo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entryClearancePhraseology Context triple: [Class B (Washington area), entryClearancePhraseology, cleared into the Bravo]
-
A.
customsClearance
Indicates the process by which goods or shipments are reviewed, processed, and officially approved by customs authorities for entry into or exit from a country.
-
B.
positionOnImmigration
Indicates a stance or viewpoint that an entity holds regarding immigration policies or issues.
-
C.
borderStation
Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
-
D.
hasCustomsAndImmigration
Indicates that customs and immigration control services are present or provided at a given location or facility.
-
E.
customs
Indicates that an entity is responsible for regulating, inspecting, or processing goods and people as they cross a border for legal and tax purposes.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df7da748190a3a1762a67eb871b |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:39 a.m.