Triple
T32008687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Chen |
E817339
|
entity |
| Predicate | companyHeadquarteredAt |
P62
|
FINISHED |
| Object | Trend Micro headquarters in Tokyo, Japan |
—
|
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: Trend Micro headquarters in Tokyo, Japan | Statement: [Eva Chen, companyHeadquarteredAt, Trend Micro headquarters in Tokyo, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyHeadquarteredAt Context triple: [Eva Chen, companyHeadquarteredAt, Trend Micro headquarters in Tokyo, Japan]
-
A.
employerHeadquarters
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
-
B.
companyHeadquartersAtDesignTime
Indicates the location where a company’s headquarters are situated at a specific, defined point in time (typically when the data or model was created).
-
C.
laterCompanyHeadquartersCity
Indicates that the specified city is the location of a company’s headquarters during a later period in time, following an earlier headquarters location.
-
D.
associationHeadquarters
Indicates the location where an association’s main administrative offices or central headquarters are based.
-
E.
headquartersLocation
chosen
Indicates the place where an organization’s main administrative center or principal office is located.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 1, 2026, 12:15 a.m.