Triple
T5680080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Language Council of Brunei-Indonesia-Malaysia |
E125178
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MABBIM |
E542482
|
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: MABBIM | Statement: [Language Council of Brunei-Indonesia-Malaysia, hasAbbreviation, MABBIM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MABBIM Context triple: [Language Council of Brunei-Indonesia-Malaysia, hasAbbreviation, MABBIM]
-
A.
MABBIM
chosen
MABBIM is a regional language council that coordinates and promotes the development and standardization of the Malay language across Brunei, Indonesia, and Malaysia.
-
B.
MAB
MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
-
C.
Mabor
Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
-
D.
Mebarak
Mebarak is the Lebanese-origin family name of international pop star Shakira and her paternal relatives.
-
E.
Sameba
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023960ecc819080a97a37be80c01f |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dc5d8b08190b4646853f68beb62 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:44 p.m.