Triple
T16482265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfäfers |
E400348
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Mels |
E1192396
|
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: Mels | Statement: [Pfäfers, neighboringMunicipality, Mels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mels Context triple: [Pfäfers, neighboringMunicipality, Mels]
-
A.
Mels
chosen
Mels is a childhood friend of Amy Pond in Doctor Who who is later revealed to be River Song, the daughter of Amy and Rory.
-
B.
Mello
Mello is the official mascot character created for the 2007 ICC Cricket World Cup held in the West Indies.
-
C.
Meleys
Meleys is a fearsome red she-dragon from George R.R. Martin’s "A Song of Ice and Fire" universe, famed for her speed and ridden in the Dance of the Dragons by Princess Rhaenys Targaryen.
-
D.
Mehlem
Mehlem is a subdistrict of the Bonn borough of Bad Godesberg in Germany, known for its scenic location along the Rhine River.
-
E.
Mahls
Mahls are a Maldivian-origin ethnic group primarily inhabiting India’s Lakshadweep islands, known for their Dhivehi-based Mahl language and Islamic maritime culture.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e03643881908b16ddb9004af5d0 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005820790c819088d953eeea09328d |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.