Triple
T538344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Dutch |
E12374
|
entity |
| Predicate | hasTextType |
P10348
|
FINISHED |
| Object | glosses |
—
|
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: glosses | Statement: [Old Dutch, hasTextType, glosses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTextType Context triple: [Old Dutch, hasTextType, glosses]
-
A.
hasText
Indicates that an entity is associated with or contains a specific piece of textual content.
-
B.
haveMajorTextTypes
chosen
Indicates that an entity possesses or is associated with specific primary categories or types of texts.
-
C.
hasContentType
Indicates that an entity is associated with or classified by a specific type of content.
-
D.
hasTypicalCharacterType
Indicates that an entity is commonly associated with or exemplified by a particular type of character or persona.
-
E.
hasKeyType
Indicates that an entity possesses or is associated with a specific category or type of key.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b51ff08190a39f4168fd9a7ddf |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.