Triple
T8275032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Navy |
E193523
|
entity |
| Predicate | pairedWith |
P3159
|
FINISHED |
| Object | Action Green |
E193524
|
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: Action Green | Statement: [College Navy, pairedWith, Action Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Action Green Context triple: [College Navy, pairedWith, Action Green]
-
A.
Action Green
chosen
Action Green is a bright, neon shade of green prominently used as one of the Seattle Seahawks' official team colors in their uniforms and branding.
-
B.
Bounds Green
Bounds Green is a residential district in north London known for its diverse community, local amenities, and transport links including its own Underground station on the Piccadilly line.
-
C.
Aksi
Aksi is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
-
D.
Agent Green
Agent Green was a herbicidal defoliant and crop-destroying chemical used by the U.S. military during the Vietnam War as part of its broader herbicidal warfare program.
-
E.
Action Center
Action Center is a Windows 7 control panel feature that centralizes security and maintenance notifications and troubleshooting tools for the operating system.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798bc29c8190927ef4b0662d6b98 |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9510a74c8190a8f8c9c7e430b5ae |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:51 p.m.