Triple
T15683286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Pontus |
E377632
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Sinope |
E114644
|
NE 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: Sinope | Statement: [King of Pontus, hasCapital, Sinope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinope Context triple: [King of Pontus, hasCapital, Sinope]
-
A.
Sinope
Sinope is an irregular, retrograde moon of Jupiter with a distant, eccentric orbit and a likely captured origin.
-
B.
Sinop
chosen
Sinop is a historic port city on Turkey’s Black Sea coast, long valued for its strategic harbor and role in regional trade and defense.
-
C.
Anaklia
Anaklia is a small Georgian Black Sea resort town known for its beaches, modern seaside promenade, and proximity to the Kolkheti wetlands.
-
D.
Comana Pontica
Comana Pontica was an ancient town in the region of Pontus (in modern-day Turkey), known as a religious center and later as the place where John Chrysostom died in exile.
-
E.
Navalnaya
Navalnaya is the surname of Yulia Navalnaya, a Russian public figure and the widow of opposition leader Alexei Navalny.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f31b5b881908e46ecd9fc6048ab |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee4c8688190ae2fefb56171161a |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.