Triple
T17386708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God Manifest |
E422704
|
entity |
| Predicate | hasAbbreviationOrForm |
P127294
|
FINISHED |
| Object | Epiphanes as part of royal titulature |
—
|
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: Epiphanes as part of royal titulature | Statement: [God Manifest, hasAbbreviationOrForm, Epiphanes as part of royal titulature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationOrForm Context triple: [God Manifest, hasAbbreviationOrForm, Epiphanes as part of royal titulature]
-
A.
hasAbbreviationStatus
Indicates that an entity has a particular status or condition regarding its abbreviation (e.g., whether it is abbreviated, how, or to what extent).
-
B.
isUsedInAbbreviation
Indicates that one entity functions as a shortened or abbreviated form of another entity.
-
C.
isAbbreviation
Indicates that one term is a shortened or abbreviated form of another term.
-
D.
hasAbbreviationPattern
Indicates that there is a systematic abbreviation relationship between two strings, where one follows a recognizable pattern derived from the other.
-
E.
hasFirstWordOfExpandedForm
Indicates that one entity is the first word in the fully expanded (non-abbreviated) form of another entity.
- F. None of above. chosen
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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8a93f48190a31f5cc58d950758 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:45 a.m.