Triple
T23501015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bensheim |
E571842
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | HP |
—
|
NE NERFINISHED |
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: HP | Statement: [Bensheim, vehicleRegistrationCode, HP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HP Context triple: [Bensheim, vehicleRegistrationCode, HP]
-
A.
HP
HP (Hewlett-Packard) is a major American multinational technology company best known for its personal computers, printers, and related hardware and services.
-
B.
HP
HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
-
C.
HP
HP is a postcode area in the United Kingdom covering High Wycombe and surrounding parts of Buckinghamshire and nearby counties.
-
D.
HP
HP was the IATA airline designator code assigned to the now-defunct U.S. carrier America West Airlines.
-
E.
HP
chosen
HP is the vehicle registration code used on license plates for the town of Hirschhorn am Neckar in Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fc37908190af86a01ab85737d6 |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.