Triple
T16329600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLSPA |
E396514
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | MLSPA |
E396514
|
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: MLSPA | Statement: [MLSPA, acronym, MLSPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLSPA Context triple: [MLSPA, acronym, MLSPA]
-
A.
MLSPA
chosen
MLSPA is the labor union that represents professional soccer players in Major League Soccer in collective bargaining and workplace matters.
-
B.
MSPA
MSPA is the commonly used acronym for the Migrant and Seasonal Agricultural Worker Protection Act, a U.S. federal law that sets labor standards and protections for migrant and seasonal farmworkers.
-
C.
MASP
MASP (Museu de Arte de São Paulo) is one of Brazil’s most important art museums, renowned for its striking modernist architecture and extensive collection of Western and Brazilian art.
-
D.
LSAP
LSAP is a major social-democratic political party in Luxembourg that advocates for workers' rights, social justice, and progressive economic policies.
-
E.
MPIP
MPIP is a leading German research institute focused on cutting-edge fundamental and applied research in polymer science and soft materials.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4debef08190a64f13214bfa098f |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261134108190812da262b424a476 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.