Triple
T6989778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arab Maghreb Union |
E162055
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UMA |
E162055
|
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: UMA | Statement: [Arab Maghreb Union, abbreviation, UMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UMA Context triple: [Arab Maghreb Union, abbreviation, UMA]
-
A.
UMA
chosen
UMA is the acronym for the Arab Maghreb Union, a regional organization aimed at promoting economic and political cooperation among North African countries.
-
B.
UMA
UMA is a regional public university in Augusta, Maine, offering a range of undergraduate and professional programs with a focus on accessibility and nontraditional students.
-
C.
Umana Yana
Umana Yana is a traditional thatched benab-style conference and cultural hall in Georgetown, Guyana, originally built by Indigenous Wai-Wai people and now serving as a prominent national landmark and heritage site.
-
D.
Uma
Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
-
E.
Ushu
Ushu is a scenic mountainous village in Pakistan’s Swat Valley, known for its lush forests, rivers, and access to trekking and natural viewpoints.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbee0e881909f78370856594cd6 |
completed | March 27, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761d3f07081908892cdcac8e0917c |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:32 p.m.