Triple
T31855625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umeå IK (women) |
E813187
|
entity |
| Predicate | numberOfDamallsvenskanTitles |
P203259
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Umeå IK (women), numberOfDamallsvenskanTitles, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDamallsvenskanTitles Context triple: [Umeå IK (women), numberOfDamallsvenskanTitles, 7]
-
A.
DamallsvenskanTitlesSeason
Indicates the relationship between a Damallsvenskan season and the number of league titles won in that specific season.
-
B.
wonSwedishChampionship
Indicates that an entity achieved victory in the Swedish Championship competition.
-
C.
numberOfBundesligaTitles
Indicates the quantity of Bundesliga championship titles that an entity has won.
-
D.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
-
E.
numberOfDFBPokalTitles
Indicates the number of DFB-Pokal titles that an entity has won.
- F. None of above. chosen
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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0143a4ab3c8190a240b0facfe130a9 |
completed | May 11, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_6a01426b2d4481908654bfa4a02c457d |
completed | May 11, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_6a0143a400f881909599405b47dc1c78 |
completed | May 11, 2026, 2:49 a.m. |
Created at: April 30, 2026, 11:52 p.m.