Triple
T5642725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fittja metro station |
E124306
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fittja |
E120612
|
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: Fittja | Statement: [Fittja metro station, locatedIn, Fittja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fittja Context triple: [Fittja metro station, locatedIn, Fittja]
-
A.
Fittja
chosen
Fittja is a suburban district in the southern part of the Stockholm metropolitan area in Sweden, known for its diverse population and large-scale postwar housing.
-
B.
Fiquet
Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
-
C.
Fintona
Fintona is a small town in County Tyrone, Northern Ireland, known for its rural character and local market-town services.
-
D.
Fitter
Fitter is the NATO reporting name for the Soviet-designed Sukhoi Su-17/20/22 family of variable-sweep wing fighter-bomber aircraft.
-
E.
Fyffes
Fyffes is a major Irish multinational company best known as one of the world’s largest importers and distributors of bananas and other tropical produce.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a6a22881908d16f4df564ed2a2 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d7c98008190b79528596eca4208 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.