Triple
T25760690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Christ the King |
E648731
|
entity |
| Predicate | generalHouseCountry |
P159503
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Institute of Christ the King, generalHouseCountry, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalHouseCountry Context triple: [Institute of Christ the King, generalHouseCountry, Italy]
-
A.
generalHouse
Indicates that an entity is a general or non-specific type of house, without further specialization or subtype distinction.
-
B.
hasCountryHouse
Indicates that one entity possesses or owns a house located in the countryside.
-
C.
officialCountryHouse
Indicates that a particular residence serves as the officially designated country house for a given person or organization.
-
D.
mainCountry
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
E.
homeCountryBoard
Indicates that an entity serves on the board of directors in the entity’s own home country.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdeef1348190a32e4ae429680b7d |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 5:05 a.m.