Triple
T9559360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pukapukan |
E230627
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Pukapuka |
E230623
|
NE FINISHED |
How this triple was built (2 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: Pukapuka | Statement: [Pukapukan, hasAlternativeName, Pukapuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pukapuka Context triple: [Pukapukan, hasAlternativeName, Pukapuka]
-
A.
Pukapuka
chosen
Pukapuka is a remote, culturally distinctive coral atoll in the northern Cook Islands known for its traditional Polynesian lifestyle and unique language dialect.
-
B.
Bok
Bok is the surname of Mary Louise Curtis Bok, an American philanthropist and founder of the Curtis Institute of Music.
-
C.
الكتاب
الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
-
D.
Buch
Buch is a locality in the Berlin borough of Pankow, known for its historic hospital complex and extensive green spaces on the northeastern edge of the city.
-
E.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994a7e9c8190b68883c2ea45aa1a |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1529b4974819096e26153c60bf05c |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:03 p.m.