Triple
T13388659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CA-5 |
E319509
|
entity |
| Predicate | roadNumbering |
P38215
|
FINISHED |
| Object | CA-5 |
E319509
|
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: CA-5 | Statement: [CA-5, roadNumbering, CA-5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CA-5 Context triple: [CA-5, roadNumbering, CA-5]
-
A.
CA-5
chosen
CA-5 is a major Honduran highway that connects the capital city Tegucigalpa with the industrial hub of San Pedro Sula and other key regions.
-
B.
CA-15
CA-15 is a designation used for California's 15th congressional district, a U.S. House of Representatives district located in the state of California.
-
C.
CA-1
CA-1 is a major Guatemalan highway that forms part of the Pan-American Highway system, connecting key regions across the country.
-
D.
CA-1
CA-1 is a major Salvadoran highway route that forms part of the country’s primary road network and the broader Central American highway system.
-
E.
CA-1
CA-1 is a major California state highway running along much of the Pacific coastline, renowned for its scenic ocean views and coastal access.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d3a40081909ba49556130ad0e7 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72691c8d08190b971d7e914863cc1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:34 p.m.