Triple
T1284631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meso-Melanesian languages |
E27405
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Zabana
Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
|
E152617
|
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: Zabana | Statement: [Meso-Melanesian languages, hasMemberLanguage, Zabana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabana Context triple: [Meso-Melanesian languages, hasMemberLanguage, Zabana]
-
A.
Murzuq
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
-
B.
Zeehaen
Zeehaen was one of the two Dutch East India Company ships in Abel Tasman’s 1642–1643 voyage that led to the first known European contact with New Zealand and parts of Tasmania.
-
C.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
D.
Sana'i
Sana'i was a pioneering 12th-century Persian Sufi poet whose mystical and didactic works profoundly shaped later poets, including Rumi.
-
E.
Gulnare
Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
- 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: Zabana Triple: [Meso-Melanesian languages, hasMemberLanguage, Zabana]
Generated description
Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zabana Target entity description: Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
-
A.
Murzuq
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
-
B.
Zeehaen
Zeehaen was one of the two Dutch East India Company ships in Abel Tasman’s 1642–1643 voyage that led to the first known European contact with New Zealand and parts of Tasmania.
-
C.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
D.
Sana'i
Sana'i was a pioneering 12th-century Persian Sufi poet whose mystical and didactic works profoundly shaped later poets, including Rumi.
-
E.
Gulnare
Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
- 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_69acbf221180819082fc982b043d1085 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acc246824c819084a4d73bcdd6c449 |
completed | March 8, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc2be6e1c8190b05437749bc15643 |
completed | March 8, 2026, 12:28 a.m. |
Created at: March 1, 2026, 7:50 p.m.