Triple
T13520366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pazin |
E322876
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | PU |
E1026923
|
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: PU | Statement: [Pazin, vehicleRegistrationCode, PU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PU Context triple: [Pazin, vehicleRegistrationCode, PU]
-
A.
PU
PU is the station code used to identify Pureza station in transportation and transit systems.
-
B.
PU
PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
-
C.
PU
PU is the vehicle registration code used on license plates for vehicles registered in the city of Urbino, Italy.
-
D.
PU
PU is the commonly used abbreviation for Patna University, a historic public university located in Patna, Bihar, India.
-
E.
PU
chosen
PU is the vehicle registration code used on license plates for vehicles registered in Istria County, Croatia.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa3df0c8190804174695587f0ea |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75498153c819096a28a7f0b608ff5 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.