Triple
T15501235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red line (Stockholm metro) |
E378957
|
entity |
| Predicate | hasBranch |
P35
|
FINISHED |
| Object | Mörby centrum branch |
E378326
|
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: Mörby centrum branch | Statement: [Red line (Stockholm metro), hasBranch, Mörby centrum branch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mörby centrum branch Context triple: [Red line (Stockholm metro), hasBranch, Mörby centrum branch]
-
A.
Mörby centrum
chosen
Mörby centrum is a Stockholm metro station serving the northern suburb of Danderyd and providing access to the adjacent shopping center and residential area.
-
B.
Centrum
Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
-
C.
Centrum
Centrum is the historic city center district of Amsterdam, known for its canals, landmarks, and bustling markets.
-
D.
Centrum
Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
-
E.
Valbo Köpcentrum
Valbo Köpcentrum is a major regional shopping mall in Valbo, Sweden, featuring a wide range of retail stores, services, and dining options.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4a9bf88190b7c6b4874abe165f |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:54 a.m.