Triple
T15802725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Og, king of Bashan |
E383135
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Og |
E1134448
|
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: Og | Statement: [Og, king of Bashan, name, Og]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Og Context triple: [Og, king of Bashan, name, Og]
-
A.
Og
chosen
Og is a character who appears as one of Kevin’s companions, likely within a fictional or narrative context.
-
B.
Oga
Oga is a coastal city in northern Japan known for the Oga Peninsula and its traditional Namahage folklore.
-
C.
Oghi
Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
-
D.
Ogi
Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
E.
Kogo
Kogo is a settlement located in the Litoral region of Equatorial Guinea.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b523bf508190af4a54bdc983a9a1 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b2fd148190b3819d7c41505d52 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.