Triple
T15716930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moshoeshoe I International Airport |
E380984
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object | MSU |
E1172749
|
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: MSU | Statement: [Moshoeshoe I International Airport, hasCode, MSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSU Context triple: [Moshoeshoe I International Airport, hasCode, MSU]
-
A.
MSU
MSU is a public historically Black research university located in Baltimore, Maryland.
-
B.
MSU
chosen
MSU is the IATA airport code for Moshoeshoe I International Airport, the main airport serving Maseru, the capital of Lesotho.
-
C.
MSU
MSU is the commonly used abbreviation for Lomonosov Moscow State University, one of Russia’s oldest and most prestigious universities.
-
D.
MSU
MSU (Microwave Sounding Unit) is a satellite-borne microwave radiometer used to measure atmospheric temperature profiles for weather forecasting and climate monitoring.
-
E.
MSU
MSU is a prominent public university located in Vadodara, Gujarat, India, known for its comprehensive range of undergraduate and postgraduate programs across arts, science, commerce, engineering, and fine arts.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9090e25481909f142b54ac4802f8 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:45 a.m.