Triple
T30633251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnor |
E779765
|
entity |
| Predicate | foundedByPeople |
P7991
|
FINISHED |
| Object | Faithful Númenóreans |
—
|
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: Faithful Númenóreans | Statement: [Arnor, foundedByPeople, Faithful Númenóreans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedByPeople Context triple: [Arnor, foundedByPeople, Faithful Númenóreans]
-
A.
wasFoundedBy
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
-
B.
foundedByCoFounderOf
Indicates that an entity was founded by a person who is also a co-founder of another entity.
-
C.
possiblyFoundedBy
Indicates that an entity may have been founded or established by another entity, but this founding relationship is uncertain or not definitively confirmed.
-
D.
foundedByCitizenOf
Indicates that an entity (such as an organization, institution, or settlement) was established by a founder who is a citizen of a specified country or state.
-
E.
foundedByOccupation
chosen
Indicates that an entity (such as an organization or institution) was founded by a person or group characterized by a specific occupation or professional role.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 29, 2026, 8:28 p.m.