Triple
T247769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F |
E5075
|
entity |
| Predicate | underlyingIsMultinational |
P8760
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [F, underlyingIsMultinational, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingIsMultinational Context triple: [F, underlyingIsMultinational, true]
-
A.
multiNationalState
Indicates a state whose population is composed of multiple distinct national or ethnic groups under a single political authority.
-
B.
isMultilateral
Indicates that a relationship, agreement, or interaction involves three or more distinct parties or entities participating together.
-
C.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
D.
hasSupranationalInstitution
Indicates that an entity is associated with or governed by an institution that operates above the level of individual nation-states.
-
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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d154ebc819087a5c9dc4f62ff44 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b64ea3081908de626a0e1445bdb |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2ca46c81908c61696f31e59a98 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.