Triple
T12312632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pindamonhangaba |
E293517
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | SP |
E878950
|
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: SP | Statement: [Pindamonhangaba, vehicleRegistrationCode, SP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SP Context triple: [Pindamonhangaba, vehicleRegistrationCode, SP]
-
A.
SP
SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
-
B.
SP
SP is the commonly used abbreviation for the Social Democratic Party of Switzerland, a major center-left political party in the country.
-
C.
SP
SP is the commonly used abbreviation for the Samajwadi Party, a major socialist-oriented political party in India.
-
D.
SP
SP is the vehicle registration code used on license plates for the city of Speyer in Germany.
-
E.
SP
chosen
SP is the official two-letter abbreviation for the Brazilian state of São Paulo, widely used in vehicle registration plates and administrative codes.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.