Triple
T17559018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HP Integrity Virtual Machines |
E427652
|
entity |
| Predicate | developer |
P73
|
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: [HP Integrity Virtual Machines, developer, HP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HP Context triple: [HP Integrity Virtual Machines, developer, HP]
-
A.
HP
HP is the vehicle registration code used on motor vehicles registered in the Indian state of Himachal Pradesh.
-
B.
HP
HP is a postcode area in the United Kingdom covering High Wycombe and surrounding parts of Buckinghamshire and nearby counties.
-
C.
HP
HP was the IATA airline designator code assigned to the now-defunct U.S. carrier America West Airlines.
-
D.
HP
HP is the vehicle registration code used on license plates for the town of Hirschhorn am Neckar in Germany.
-
E.
Hewlett-Packard
chosen
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45624bfe08190991dc088394a5af4 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.