Triple
T33842346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manikay |
E867388
|
entity |
| Predicate | hasRelationToCountry |
P835
|
FINISHED |
| Object | expression of connection to specific estates |
—
|
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: expression of connection to specific estates | Statement: [Manikay, hasRelationToCountry, expression of connection to specific estates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationToCountry Context triple: [Manikay, hasRelationToCountry, expression of connection to specific estates]
-
A.
hasInternationalRelationshipType
Indicates the specific nature or category of an international relationship that exists between two entities.
-
B.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
C.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
-
D.
memberOfThroughCountry
Indicates that an entity is a member of another entity (such as an organization or group) by virtue of, or via, its association with a specific country.
-
E.
relatedCountry
chosen
Indicates that there is a relevant or associated relationship between an entity and a specified country, without specifying the exact nature of that relationship.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:47 a.m.