Triple
T35481960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House Blackfyre |
E1025492
|
entity |
| Predicate | originCountryInUniverse |
P82660
|
FINISHED |
| Object | Westeros |
E68957
|
NE 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: Westeros | Statement: [House Blackfyre, originCountryInUniverse, Westeros]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originCountryInUniverse Context triple: [House Blackfyre, originCountryInUniverse, Westeros]
-
A.
countryOfOriginFictional
chosen
Indicates that a fictional work, character, or element originates from or is associated with a particular country within its narrative or setting.
-
B.
creationCountry
Indicates the country in which an entity was originally created, produced, or brought into existence.
-
C.
countryOfFictionalContext
Indicates that a work of fiction is primarily set in, or contextually associated with, a particular country.
-
D.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
-
E.
countryOfFictionalEmpire
Indicates the real-world country in which a fictional empire is located, originates, or is primarily associated.
- F. None of above.
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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a384a2b313c8190a43ffe2a714bdf62 |
completed | June 21, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.