Triple
T16065469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermoy |
E389719
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Mallow |
E379368
|
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: Mallow | Statement: [Fermoy, nearbyTown, Mallow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallow Context triple: [Fermoy, nearbyTown, Mallow]
-
A.
Mallow
chosen
Mallow is a town in north County Cork, Ireland, known historically as a market and spa town on the River Blackwater.
-
B.
Malva
Malva is a genus of flowering plants commonly known as mallows, characterized by their showy, five-petaled flowers and widespread distribution in temperate regions.
-
C.
Rhoose
Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
-
D.
Primrose
Primrose is a delicate flowering plant known for its early spring blooms in soft pastel colors and is commonly cultivated in gardens and naturalized landscapes.
-
E.
Primrose
Primrose is a small rural town located in Dane County, Wisconsin, known for its agricultural landscape and quiet countryside character.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837bec688190a77ad347600b6bdc |
completed | April 17, 2026, 12:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ef6648190bf1fe216e78ef660 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.