Triple
T29481839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyco International |
E747807
|
entity |
| Predicate | formerCountryOfIncorporation |
P197232
|
FINISHED |
| Object | Bermuda |
—
|
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: Bermuda | Statement: [Tyco International, formerCountryOfIncorporation, Bermuda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCountryOfIncorporation Context triple: [Tyco International, formerCountryOfIncorporation, Bermuda]
-
A.
formerCountryOfOrigin
Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
-
B.
formerHeadquartersCountry
Indicates the country in which an entity’s headquarters used to be located before being moved or closed.
-
C.
formerGoverningCountry
Indicates that one country previously held governing or colonial authority over another country or territory.
-
D.
acquiredCompanyCountry
Indicates the country in which the company that was acquired is located.
-
E.
countryOfUnderlyingCompany
Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
- F. None of above. chosen
Provenance (4 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
| PDg | Predicate description generation | batch_69fe7eb31b04819081be531fd9f8a78c |
completed | May 9, 2026, 12:24 a.m. |
Created at: April 28, 2026, 4:04 p.m.