Triple
T1044304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botkyrka Municipality |
E22540
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Salo |
E116439
|
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: Salo | Statement: [Botkyrka Municipality, hasSisterCity, Salo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salo Context triple: [Botkyrka Municipality, hasSisterCity, Salo]
-
A.
Salo
chosen
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
B.
Paippalada
Paippalada is one of the principal ancient recensions (śākhās) of the Atharvaveda, preserved mainly in the Paippalāda tradition of Vedic scholarship.
-
C.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
-
D.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
-
E.
Zein
Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84937688190a5899af2104002df |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc97dec81909b6ad48e3f203923 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:42 p.m.