Triple
T3743750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amalfi Coast |
E79761
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Minori
Minori is a small seaside town on Italy’s Amalfi Coast known for its historic lemon cultivation, Roman villa ruins, and relaxed, less touristy atmosphere.
|
E385222
|
NE FINISHED |
How this triple was built (4 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: Minori | Statement: [Amalfi Coast, hasMajorTown, Minori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minori Context triple: [Amalfi Coast, hasMajorTown, Minori]
-
A.
Minna
Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
-
B.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
C.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Atsuko
Atsuko is a Japanese feminine given name commonly borne by women and princesses in Japan, with meanings that vary depending on the kanji used.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Minori Triple: [Amalfi Coast, hasMajorTown, Minori]
Generated description
Minori is a small seaside town on Italy’s Amalfi Coast known for its historic lemon cultivation, Roman villa ruins, and relaxed, less touristy atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minori Target entity description: Minori is a small seaside town on Italy’s Amalfi Coast known for its historic lemon cultivation, Roman villa ruins, and relaxed, less touristy atmosphere.
-
A.
Minna
Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
-
B.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
C.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
-
D.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
E.
Atsuko
Atsuko is a Japanese feminine given name commonly borne by women and princesses in Japan, with meanings that vary depending on the kanji used.
- F. None of above. chosen
Provenance (5 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb576b5881908515d64c71f11a16 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db29b2288190932923a6bf1a7e8e |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4df07a5b88190ab88e1f644c1bf53 |
completed | March 14, 2026, 4:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dfa6d7c4819083cad94e23fe7c8b |
completed | March 14, 2026, 4:10 a.m. |
Created at: March 8, 2026, 3:34 p.m.