Triple
T10246651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Raza |
E240231
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | RZ |
E650795
|
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: RZ | Statement: [La Raza, hasStationCode, RZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RZ Context triple: [La Raza, hasStationCode, RZ]
-
A.
RZ
chosen
RZ is the vehicle registration code used on license plates for the district of Lauenburg in the German state of Schleswig-Holstein.
-
B.
RZO
RZO is the ICAO airline designator used to identify Azores Airlines in international aviation operations.
-
C.
RZE
RZE is the IATA airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
-
D.
RIZ
RIZ is the vehicle registration code assigned to the Philippine province of Rizal.
-
E.
RBZ
RBZ is the central bank of Zimbabwe, responsible for issuing the national currency and overseeing the country’s monetary and financial system.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22cfe1c8190afae178e11a59b8b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7a597188190880200d13784f18f |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:27 a.m.