Triple
T16057849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroggia |
E389528
|
entity |
| Predicate | mergedWith |
P77
|
FINISHED |
| Object | Melano |
E319020
|
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: Melano | Statement: [Maroggia, mergedWith, Melano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melano Context triple: [Maroggia, mergedWith, Melano]
-
A.
Melano
chosen
Melano is a small municipality in the canton of Ticino in southern Switzerland, situated on the shores of Lake Lugano.
-
B.
Melana
Melana is a small coastal village in the traditional Tsakonia region of the eastern Peloponnese in Greece.
-
C.
Melenara
Melenara is a coastal neighborhood and beach area in the municipality of Telde on the island of Gran Canaria, Spain.
-
D.
Melanconis
Melanconis is a genus of ascomycete fungi within the order Diaporthales, known for species that often occur as plant pathogens or endophytes on woody hosts.
-
E.
Melaque
Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837634248190a99cc454ad1e99e0 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe678fc8190b36737a9cd29691c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:57 a.m.