Triple
T16245140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lugano District |
E394351
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pura
Pura is a small Swiss municipality in the canton of Ticino, known for its scenic setting near Lake Lugano and its traditional village character.
|
E1203085
|
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: Pura | Statement: [Lugano District, contains, Pura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pura Context triple: [Lugano District, contains, Pura]
-
A.
Pura
Pura is a small, tiger-like character from the Crash Bandicoot series, known for being a playable racer in various Crash Team Racing games.
-
B.
Pura
Pura is a rural municipality in the province of Tarlac in the Central Luzon region of the Philippines.
-
C.
Pura Meru
Pura Meru is a prominent Hindu temple complex in Mataram, Lombok, known for its multi-tiered meru shrines and significance as one of the island’s most important religious sites.
-
D.
Parikia
Parikia is the main port town and administrative center of the Greek island of Paros, known for its traditional Cycladic architecture and historic sites.
-
E.
Elopura
Elopura is the former name of Sandakan, a major coastal town in Sabah, Malaysia, historically known as an important trading and administrative center in North Borneo.
- 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: Pura Triple: [Lugano District, contains, Pura]
Generated description
Pura is a small Swiss municipality in the canton of Ticino, known for its scenic setting near Lake Lugano and its traditional village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pura Target entity description: Pura is a small Swiss municipality in the canton of Ticino, known for its scenic setting near Lake Lugano and its traditional village character.
-
A.
Pura
Pura is a rural municipality in the province of Tarlac in the Central Luzon region of the Philippines.
-
B.
Pura
Pura is a small, tiger-like character from the Crash Bandicoot series, known for being a playable racer in various Crash Team Racing games.
-
C.
Pura Meru
Pura Meru is a prominent Hindu temple complex in Mataram, Lombok, known for its multi-tiered meru shrines and significance as one of the island’s most important religious sites.
-
D.
Parikia
Parikia is the main port town and administrative center of the Greek island of Paros, known for its traditional Cycladic architecture and historic sites.
-
E.
Elopura
Elopura is the former name of Sandakan, a major coastal town in Sabah, Malaysia, historically known as an important trading and administrative center in North Borneo.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24561d250819096f709ea8751fcb9 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee135b881909cc1b6919bc7af29 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a00132b0ca4819080f45f929ac39eca |
completed | May 10, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00138ca1b48190bd7d79699b9e2114 |
completed | May 10, 2026, 5:11 a.m. |
Created at: April 10, 2026, 5:04 a.m.