Triple
T21185476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomond |
E522067
|
entity |
| Predicate | majorCenter |
P164
|
FINISHED |
| Object | Ennis |
—
|
NE NERFINISHED |
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: Ennis | Statement: [Thomond, majorCenter, Ennis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ennis Context triple: [Thomond, majorCenter, Ennis]
-
A.
Ennis
chosen
Ennis is a town in County Clare, Ireland, historically notable as a parliamentary constituency represented in the UK Parliament.
-
B.
Ennis
Ennis is a small Texas city known for its historic downtown, annual Bluebonnet Trails Festival, and location along major transportation routes south of Dallas.
-
C.
Ennis
Ennis is a given name used as the first name of individuals such as Ennis C. Whitehead.
-
D.
Ennis-Flint
Ennis-Flint is a leading manufacturer of pavement marking and traffic safety materials, including road striping paints and thermoplastics, serving transportation infrastructure markets worldwide.
-
E.
Ennis-Hill
Ennis-Hill is the hyphenated surname of British heptathlete and Olympic champion Jessica Ennis-Hill, adopted after her marriage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73021671c8190a7b464ece7dbaadd |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:06 p.m.