Triple
T6669958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moabit |
E151700
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Wedding |
E71194
|
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: Wedding | Statement: [Moabit, adjacentTo, Wedding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wedding Context triple: [Moabit, adjacentTo, Wedding]
-
A.
Wedding
chosen
Wedding is a district in Berlin, Germany, known for its multicultural character and urban residential neighborhoods.
-
B.
Anand Karaj
Anand Karaj is the Sikh marriage ceremony, conducted in the presence of the Guru Granth Sahib and centered on spiritual union and commitment.
-
C.
Royal Wedding
Royal Wedding is a 1951 MGM musical film starring Fred Astaire, renowned for its innovative dance sequences including Astaire’s iconic ceiling-and-walls dance.
-
D.
Just Married
"Just Married" is a 2003 romantic comedy film starring Ashton Kutcher and Brittany Murphy about a young couple whose disastrous European honeymoon tests their new marriage.
-
E.
The Wedding Party
"The Wedding Party" is a classic episode of the British sitcom *Fawlty Towers* in which Basil Fawlty’s prudishness and paranoia about supposed illicit goings-on among his guests lead to escalating misunderstandings and farcical chaos.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c7d9148190b3fbb870851d917b |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef12fcfc819086b37dc9b9929663 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.