Triple
T3190214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosrae State |
E66802
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Tofol |
E336593
|
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: Tofol | Statement: [Kosrae State, hasAdministrativeCenter, Tofol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tofol Context triple: [Kosrae State, hasAdministrativeCenter, Tofol]
-
A.
Tofol
chosen
Tofol is the administrative center and main town of Kosrae State in the Federated States of Micronesia.
-
B.
Baflo
Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
-
C.
Nori
Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
-
D.
Koki
Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
-
E.
Myaso
Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e67e948190afbd9cc6a3ade415 |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276fbb7c481909097f5af619e45f4 |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:07 p.m.