Triple
T21002291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumba station |
E517323
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tumba |
—
|
NE NERFINISHED |
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: [Tumba station, locatedIn, Tumba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumba Context triple: [Tumba station, locatedIn, Tumba]
-
A.
Tumba
chosen
Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
-
B.
Toten
Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
-
C.
Turba
Turba is a small settlement in northwestern Estonia known for its rural character and location within Harju County.
-
D.
Tombs
Tombs are structures or chambers built to house and honor the dead, often serving as significant cultural or historical monuments.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc38b8688190860fba1b58e1b3e6 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.