Triple
T5725206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thyatira |
E126247
|
entity |
| Predicate | hasTitleInRevelation |
P10405
|
FINISHED |
| Object | church in Thyatira |
—
|
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: church in Thyatira | Statement: [Thyatira, hasTitleInRevelation, church in Thyatira]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInRevelation Context triple: [Thyatira, hasTitleInRevelation, church in Thyatira]
-
A.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
B.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
C.
usesTitle
chosen
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
D.
titleAlludesTo
Indicates that one title makes an indirect or suggestive reference to the content, theme, or another work associated with the other.
-
E.
hasTitleSince
Indicates that an entity has held a particular title continuously starting from a specified point in time.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.