Triple
T5346394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occidental College |
E124064
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Oxy |
E124064
|
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: Oxy | Statement: [Occidental College, abbreviation, Oxy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxy Context triple: [Occidental College, abbreviation, Oxy]
-
A.
Oxy
chosen
Oxy is the commonly used nickname for Occidental College, a private liberal arts college in Los Angeles, California.
-
B.
O2
O2 is a major UK mobile network operator and telecommunications services provider owned by Telefónica.
-
C.
Optax
Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
-
D.
OXV
OXV is the FAA location identifier for Knoxville Municipal Airport in Iowa, United States.
-
E.
Nitro
Nitro is a high-speed steel hypercoaster at Six Flags Great Adventure known for its towering drops, smooth airtime hills, and open-air seating.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ede7c481908347d557aa4d19ad |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21c95ed0819084a9cdcaf5148988 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.