Triple
T1783568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punga Mare |
E39339
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Punga
Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
|
E198119
|
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: Punga | Statement: [Punga Mare, namedAfter, Punga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punga Context triple: [Punga Mare, namedAfter, Punga]
-
A.
Punga Mare
Punga Mare is a large hydrocarbon sea composed mainly of liquid methane and ethane located near the north pole of Saturn’s moon Titan.
-
B.
Piumafua
Piumafua is the highest peak on the island of Olosega in American Samoa, known for its steep volcanic terrain and lush tropical surroundings.
-
C.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
-
D.
Nuʻuuli
Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
-
E.
Onotoa
Onotoa is a coral atoll in the southern Gilbert Islands of Kiribati, known for its narrow land strips encircling a central lagoon in the central Pacific Ocean.
- 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: Punga Triple: [Punga Mare, namedAfter, Punga]
Generated description
Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Punga Target entity description: Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
-
A.
Punga Mare
Punga Mare is a large hydrocarbon sea composed mainly of liquid methane and ethane located near the north pole of Saturn’s moon Titan.
-
B.
Piumafua
Piumafua is the highest peak on the island of Olosega in American Samoa, known for its steep volcanic terrain and lush tropical surroundings.
-
C.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
-
D.
Nuʻuuli
Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
-
E.
Onotoa
Onotoa is a coral atoll in the southern Gilbert Islands of Kiribati, known for its narrow land strips encircling a central lagoon in the central Pacific Ocean.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e4cf108190891338052b581ae8 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9a1aa8481908cbcecde85804461 |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adab05cf6c81909f4713664f508ad9 |
completed | March 8, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaeb20390819098bad8951ec00d00 |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 4, 2026, 7:31 p.m.