Triple
T15813696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The W |
E383418
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | MUW |
E383417
|
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: MUW | Statement: [The W, shortName, MUW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MUW Context triple: [The W, shortName, MUW]
-
A.
MUW
chosen
MUW is a public university in Columbus, Mississippi, historically founded as the first public college for women in the United States but now coeducational.
-
B.
MU
MU is the common abbreviation for Masaryk University, a major public research university located in Brno, Czech Republic.
-
C.
MU
MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
-
D.
MU
MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
-
E.
MUH
MUH is the IATA airport code for Marsa Matruh International Airport, which serves the coastal city of Mersa Matruh in Egypt.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a1571881909488728f123865ad |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa131784c8190bd6aba2cca084d20 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.