Triple
T19382588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycus (tributary of the Hermus) |
E484847
|
entity |
| Predicate | referencedWith |
P8581
|
FINISHED |
| Object | Thyatira in ancient descriptions of Lydia |
—
|
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: Thyatira in ancient descriptions of Lydia | Statement: [Lycus (tributary of the Hermus), referencedWith, Thyatira in ancient descriptions of Lydia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referencedWith Context triple: [Lycus (tributary of the Hermus), referencedWith, Thyatira in ancient descriptions of Lydia]
-
A.
isReferencedIn
chosen
Indicates that one entity is cited, mentioned, or otherwise referred to within another entity.
-
B.
alsoRefersTo
Indicates that one term, label, or identifier is used as an alternative designation for the same entity or concept as another.
-
C.
symbolReferenced
Indicates that one symbol is mentioned, cited, or otherwise referred to by another symbol.
-
D.
referredTo
Indicates that one entity has mentioned, directed attention to, or cited another entity as a point of reference.
-
E.
requiresReferent
Indicates that one entity depends on or must reference another specific entity in order to be valid, interpretable, or complete.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a614cf88190b561eafaa350ce19 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.