Triple
T13337577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paphlagonia |
E317736
|
entity |
| Predicate | importantCity |
P3940
|
FINISHED |
| Object | Gangra |
E877565
|
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: Gangra | Statement: [Paphlagonia, importantCity, Gangra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangra Context triple: [Paphlagonia, importantCity, Gangra]
-
A.
Gangra
chosen
Gangra is an ancient city in Paphlagonia, in what is now north-central Turkey, historically significant as a regional administrative and ecclesiastical center.
-
B.
Gangi
Gangi is a historic hilltop town in Sicily, Italy, renowned for its medieval architecture and picturesque views over the Madonie mountains.
-
C.
Gorikai
Gorikai is a central sacred text of the Japanese Konkokyo religion, containing the teachings and revelations of its founder.
-
D.
Shingu
Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
-
E.
Gugino
Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730641f588190886119506e6dde8f |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:31 p.m.