Triple
T5588596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alsike |
E146818
|
entity |
| Predicate | municipalSeat |
P15510
|
FINISHED |
| Object | Knivsta |
E146816
|
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: Knivsta | Statement: [Alsike, municipalSeat, Knivsta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knivsta Context triple: [Alsike, municipalSeat, Knivsta]
-
A.
Knivsta
chosen
Knivsta is a small town in Uppsala County, Sweden, known as a growing commuter community situated between Uppsala and Stockholm.
-
B.
Talwara
Talwara is a small town in the Indian state of Himachal Pradesh, known primarily for its proximity to the Pong Dam on the Beas River.
-
C.
Teräs Käsi
Teräs Käsi is a deadly martial art in the Star Wars universe that focuses on unarmed combat techniques capable of countering even Force-sensitive opponents.
-
D.
Barrow-blade
Barrow-blade is an enchanted sword from the Barrow-downs in J.R.R. Tolkien’s Middle-earth, notable for being carried by Samwise Gamgee during the quest of the Fellowship of the Ring.
-
E.
Navajas
Navajas is a knife-throwing assassin portrayed by Danny Trejo in the action film "Desperado."
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209e892c8190b936a05ef2a14d36 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097c480cc8190a42001a4c0b065a2 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 22, 2026, 3:38 p.m.