Triple
T5761298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | north-central Arizona |
E127099
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Clarkdale |
E376821
|
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: Clarkdale | Statement: [north-central Arizona, hasTown, Clarkdale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarkdale Context triple: [north-central Arizona, hasTown, Clarkdale]
-
A.
Clarkdale
chosen
Clarkdale is a small historic town in central Arizona known for its mining heritage and scenic location along the Verde River.
-
B.
Darbyville
Darbyville is the former name of the city now known as Macclenny in Baker County, Florida.
-
C.
Gordonton
Gordonton is a small rural settlement in the Waikato region of New Zealand, located near the city of Hamilton and known for its farming community and local heritage sites.
-
D.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
-
E.
Lovedale
Lovedale is a rural locality in the Hunter Valley region of New South Wales, Australia, known for its vineyards, wineries, and boutique accommodation.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02939b22c81908f8354ab175d168d |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e5547f88190b950a3037708f820 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.