Triple
T36357516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōshaku |
E895384
|
entity |
| Predicate | relativeRankToEuropean |
P138726
|
FINISHED |
| Object | count |
E127790
|
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: count | Statement: [Kōshaku, relativeRankToEuropean, count]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeRankToEuropean Context triple: [Kōshaku, relativeRankToEuropean, count]
-
A.
rankingInEurope
Indicates the position or level an entity holds within a comparative ranking limited to Europe.
-
B.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
C.
continentRanking
Indicates the relative position or rank of an entity compared to others within the same continent.
-
D.
rankInCountry
Indicates the position or standing of an entity within a specific country according to some ranking or ordered criterion.
-
E.
rankAmongEuropeanLeagues
chosen
Indicates the position or standing of something relative to other entities within the set of European leagues.
- F. None of above.
Provenance (4 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39a32e2a8c8190b9bc89937105b1b1 |
completed | June 22, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.