Triple
T16227003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōka |
E393875
|
entity |
| Predicate | bordersMunicipality |
P224
|
FINISHED |
| Object | Iga |
E195170
|
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: Iga | Statement: [Kōka, bordersMunicipality, Iga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iga Context triple: [Kōka, bordersMunicipality, Iga]
-
A.
Iga
chosen
Iga is a city in Japan historically renowned as one of the principal centers of ninja (shinobi) culture and training.
-
B.
Skawa
Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
-
C.
Morawa
Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
-
D.
Zawoja
Zawoja is a large village in southern Poland, known as a popular tourist and hiking base at the foot of Babia Góra in the Beskid Mountains.
-
E.
Igo
Igo is the Japanese name for the ancient strategic board game known internationally as Go, played with black and white stones on a grid to control territory.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d26b02c819080b70ab7cc3bcc24 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079c4184819091d3355a5afaeced |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.