Triple
T14999477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Barn |
E374045
|
entity |
| Predicate | nicknameFor |
P2937
|
FINISHED |
| Object | The RAC |
E76534
|
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: The RAC | Statement: [The Barn, nicknameFor, The RAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The RAC Context triple: [The Barn, nicknameFor, The RAC]
-
A.
The RAC
chosen
The RAC is the longtime nickname for Rutgers University’s on-campus basketball arena in Piscataway, New Jersey.
-
B.
RAC
RAC is Oracle's clustering technology that allows multiple servers to run a single database instance for high availability and scalability.
-
C.
RAC
RAC is the abbreviation for Spain’s Royal Academy of Exact, Physical and Natural Sciences, a leading national institution dedicated to advancing scientific research and knowledge.
-
D.
RAC
RAC is the abbreviation for the Royal African Company, a 17th- and 18th-century English trading company heavily involved in the transatlantic slave trade.
-
E.
RACC
RACC is a public community college in Reading, Pennsylvania, offering associate degrees, certificates, and workforce training programs.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969e2d888190afbb9c8fd8a707c8 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.