Triple
T36000809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarektjåkkå |
E1041123
|
entity |
| Predicate | rankingInSwedenByHeight |
P185686
|
FINISHED |
| Object | among the highest mountains in Sweden |
—
|
LITERAL 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: among the highest mountains in Sweden | Statement: [Sarektjåkkå, rankingInSwedenByHeight, among the highest mountains in Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingInSwedenByHeight Context triple: [Sarektjåkkå, rankingInSwedenByHeight, among the highest mountains in Sweden]
-
A.
rankInSwedenByHeight
Indicates the position an entity holds in an ordered list of entities in Sweden when sorted by their height.
-
B.
rankInSizeInSweden
Indicates the position of an entity in an ordered list based on its size specifically within Sweden.
-
C.
rankingInCountryByHeight
chosen
Indicates the position an entity holds in an ordered list of entities within a specific country, when sorted by their height.
-
D.
countryRankByHeight
Indicates the relative position of a country when countries are ordered by the height of something (e.g., average elevation, tallest point, or average citizen height).
-
E.
rankingInUnitedKingdomByHeight
Indicates the position of an entity in an ordered list based on its height within the United Kingdom.
- F. None of above.
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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:07 p.m.