Triple
T2346733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yap State |
E45147
|
entity |
| Predicate | officialLanguage |
P236
|
FINISHED |
| Object | Ifalikese |
E259406
|
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: Ifalikese | Statement: [Yap State, officialLanguage, Ifalikese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ifalikese Context triple: [Yap State, officialLanguage, Ifalikese]
-
A.
Ifalik
chosen
Ifalik is a small, traditional coral atoll in the western Pacific Ocean that is part of the Federated States of Micronesia and known for its preserved Micronesian culture and navigation practices.
-
B.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
-
C.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
D.
Esigodini
Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
-
E.
Ifoghas
The Ifoghas are a prominent Tuareg clan from the Adrar des Ifoghas region of northeastern Mali, historically influential in Saharan trade and regional politics.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6c9396081908abb2b0a229bb046 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea884ac4c8190b484db995251c136 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:52 p.m.