Triple
T6184772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iban language |
E138028
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Ibanic |
E138028
|
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: Ibanic | Statement: [Iban language, hasAlternativeName, Ibanic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibanic Context triple: [Iban language, hasAlternativeName, Ibanic]
-
A.
Iban language
chosen
The Iban language is an Austronesian language spoken primarily by the Iban people of Borneo, especially in Sarawak, Malaysia, and parts of Kalimantan, Indonesia.
-
B.
Ibzan
Ibzan is a minor biblical judge of Israel mentioned in the Book of Judges, known for his large family and brief period of leadership.
-
C.
Segestani
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
-
D.
Seraiki
Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
-
E.
Perski
Perski is a Polish surname most notably borne by individuals such as Szymon Perski, better known as Shimon Peres, the former President and Prime Minister of Israel.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c061020d148190ae2edf2b363f1e24 |
completed | March 22, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141c6b5888190983bff620c7663cc |
completed | March 23, 2026, 1:36 p.m. |
Created at: March 22, 2026, 4:19 p.m.