Triple
T1044260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botkyrka Municipality |
E22540
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object | Tumba |
E120611
|
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: Tumba | Statement: [Botkyrka Municipality, hasLocality, Tumba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumba Context triple: [Botkyrka Municipality, hasLocality, Tumba]
-
A.
Tumba
chosen
Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
-
B.
Buri
The Buri were an ancient Germanic tribe known for their involvement in conflicts with the Roman Empire, including participation in the Marcomannic Wars of the 2nd century AD.
-
C.
the Tomb
The Tomb is the windowless, sandstone clubhouse of Yale University's secret society Skull and Bones, renowned for its mysterious rituals and exclusivity.
-
D.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
E.
Tomb Guard
The Tomb Guard is an elite ceremonial unit of the U.S. Army’s 3rd Infantry Regiment responsible for the continuous, highly disciplined watch over the Tomb of the Unknown Soldier at Arlington National Cemetery.
- 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_69a4b8475ab48190848388eea6448cb6 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac429ad45481908641fcaf72f7d1b9 |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.