Triple
T1284609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meso-Melanesian languages |
E27405
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Mussau-Emira
Mussau-Emira is an Oceanic Austronesian language spoken primarily on Mussau and Emirau islands in Papua New Guinea.
|
E146925
|
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: Mussau-Emira | Statement: [Meso-Melanesian languages, hasMemberLanguage, Mussau-Emira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mussau-Emira Context triple: [Meso-Melanesian languages, hasMemberLanguage, Mussau-Emira]
-
A.
Malaya Nevka
Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
B.
Arapova
Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
-
C.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
D.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
E.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
- 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: Mussau-Emira Triple: [Meso-Melanesian languages, hasMemberLanguage, Mussau-Emira]
Generated description
Mussau-Emira is an Oceanic Austronesian language spoken primarily on Mussau and Emirau islands in Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mussau-Emira Target entity description: Mussau-Emira is an Oceanic Austronesian language spoken primarily on Mussau and Emirau islands in Papua New Guinea.
-
A.
Malaya Nevka
Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
B.
Arapova
Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
-
C.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
D.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
E.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b6dda48190a2e79084adea6ec1 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2fdb3ac81909bc836e2a655130c |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca76c18d081908154d2a04c7a3328 |
completed | March 7, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca7d3c740819084c87134e5818455 |
completed | March 7, 2026, 10:33 p.m. |
Created at: March 1, 2026, 7:50 p.m.