Triple
T15677821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UAM |
E377490
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UAM |
unclear NED1
|
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: UAM | Statement: [UAM, shortName, UAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UAM Context triple: [UAM, shortName, UAM]
-
A.
UAM
UAM is a major Spanish public research university located in Madrid, known for its strong academic programs and international reputation.
-
B.
UAM
UAM is the IATA airport code for Andersen Air Force Base, a major United States Air Force installation on Guam.
-
C.
UAM
UAM is a major public research university in Poznań, Poland, named after the poet Adam Mickiewicz and known as one of the country’s leading academic institutions.
-
D.
EAMU
EAMU is the proposed monetary union of East African Community member states aimed at establishing a single regional currency and unified monetary policy.
-
E.
UAQ
UAQ is the vehicle registration code used on license plates issued in the emirate of Umm Al Quwain in the United Arab Emirates.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2f1640819086efd5a73bb9734a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee0446881909e9c2504d51d49a3 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.