Triple
T5931718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HEIA |
E131952
|
entity |
| Predicate | hasUnderlyingCompanyGlobalPresence |
P8760
|
FINISHED |
| Object | multinational |
—
|
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: multinational | Statement: [HEIA, hasUnderlyingCompanyGlobalPresence, multinational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyGlobalPresence Context triple: [HEIA, hasUnderlyingCompanyGlobalPresence, multinational]
-
A.
underlyingIsMultinational
chosen
Indicates that the underlying entity operates in or is registered across multiple countries as a multinational organization.
-
B.
hasOverseasPresenceIn
Indicates that an entity maintains operations, offices, or activities in a foreign country or region.
-
C.
hasCorporatePresence
Indicates that an organization maintains an official operational or business presence (such as offices, facilities, or legal registration) in a particular location or context.
-
D.
locationOfUnderlyingCompany
Indicates the geographic place where the underlying company is based, registered, or operates.
-
E.
countryOfUnderlyingCompany
Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.