Triple
T36760941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonnhirrim |
E908197
|
entity |
| Predicate | hasCanonicalSourceType |
P5454
|
FINISHED |
| Object | Appendices and linguistic notes of Tolkien |
—
|
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: Appendices and linguistic notes of Tolkien | Statement: [Gonnhirrim, hasCanonicalSourceType, Appendices and linguistic notes of Tolkien]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalSourceType Context triple: [Gonnhirrim, hasCanonicalSourceType, Appendices and linguistic notes of Tolkien]
-
A.
hasCanonicalLanguageSource
Indicates that something is derived from, based on, or defined according to an officially recognized or standard language source.
-
B.
hasCanonicalLocation
Indicates that an entity is associated with its primary, standard, or officially recognized location.
-
C.
hasCanonicalReference
chosen
Indicates that one entity serves as the authoritative or standard reference source for another entity.
-
D.
hasPrimarySourceType
Indicates that something is associated with a main or original type of source from which information or evidence is directly obtained.
-
E.
hasTypeOfSource
Indicates that one entity is classified as a particular kind or category of source in relation to another entity.
- 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: May 3, 2026, 4:12 p.m.