Triple
T17672425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pactolus River |
E440555
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lydia |
—
|
NE NERFINISHED |
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: Lydia | Statement: [Pactolus River, locatedIn, Lydia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lydia Context triple: [Pactolus River, locatedIn, Lydia]
-
A.
Lydia
chosen
Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
-
B.
Lydia
Lydia is the youngest and most impulsive of the Bennet sisters in Jane Austen's novel "Pride and Prejudice."
-
C.
Lydia
Lydia is a feminine given name of Greek origin, historically associated with the ancient region of Lydia and often interpreted to mean "woman from Lydia" or "beautiful one."
-
D.
Lydia
Lydia is a supporting character in the romantic drama film "Sliding Doors," which explores alternate realities in the life of the protagonist.
-
E.
Lydia
Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f69b11c8190b09add33f81776b3 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.