Triple
T77462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HP Way corporate culture |
E1548
|
entity |
| Predicate | originatedAt |
P1041
|
FINISHED |
| Object | Hewlett-Packard headquarters in Palo Alto, California |
—
|
LITERAL 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: Hewlett-Packard headquarters in Palo Alto, California | Statement: [HP Way corporate culture, originatedAt, Hewlett-Packard headquarters in Palo Alto, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatedAt Context triple: [HP Way corporate culture, originatedAt, Hewlett-Packard headquarters in Palo Alto, California]
-
A.
cityOfOriginal
chosen
Indicates the city from which something or someone originally comes or was first created or established.
-
B.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
C.
adoptedAt
Indicates the time or date at which an adoption event took place.
-
D.
emergedFrom
Indicates that one entity originated, arose, or came forth from another entity or source.
-
E.
historicalOrigin
Indicates the relationship by which one entity serves as the source, origin, or starting point in history for another entity.
- F. None of above.
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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2559892dc81909303f2eefdc0025f |
completed | Feb. 28, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69a24eaf99e481908e8d314577e22ecf |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.