Triple
T10854473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cochran Campus |
E256235
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Cochran |
E553811
|
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: Cochran | Statement: [Cochran Campus, city, Cochran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cochran Context triple: [Cochran Campus, city, Cochran]
-
A.
Cochran
Cochran is a surname of Scottish origin borne by various notable individuals in fields such as politics, science, and the arts.
-
B.
Cochran
chosen
Cochran is a small city in central Georgia that serves as the economic and cultural hub of rural Bleckley County.
-
C.
Hartigan
Hartigan is a surname most notably associated with Grace Hartigan, a prominent American Abstract Expressionist painter.
-
D.
Cochran Square
Cochran Square is a public square located in the coastal city of Brunswick, Georgia.
-
E.
Tukey
Tukey is the surname of John W. Tukey, a prominent American statistician known for pioneering exploratory data analysis and coining the term "bit."
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751351a0c8190b38c14888c5e4275 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb18a48248190999f95abc979fa74 |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.