Triple
T14196229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nag Hammadi |
E351841
|
entity |
| Predicate | languageOfFinds |
P89467
|
FINISHED |
| Object | Coptic |
—
|
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: Coptic | Statement: [Nag Hammadi, languageOfFinds, Coptic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFinds Context triple: [Nag Hammadi, languageOfFinds, Coptic]
-
A.
languageAttestedIn
chosen
Indicates that evidence exists showing the use or presence of a particular language in a specified place, time, or context.
-
B.
languageOfHistoricalRecord
Indicates the language in which a given historical record is written or recorded.
-
C.
heritageLanguage
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
-
D.
inscriptionsLanguage
Indicates that the language used in the inscriptions on an object or surface is the specified language.
-
E.
secondaryLanguageOfInscriptions
Indicates that a specified language serves as the secondary language used in the inscriptions associated with a given 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.