Triple
T22765237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N63 road |
E563105
|
entity |
| Predicate | connectsTown |
P845
|
FINISHED |
| Object | Athleague |
—
|
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: Athleague | Statement: [N63 road, connectsTown, Athleague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athleague Context triple: [N63 road, connectsTown, Athleague]
-
A.
Athleague
chosen
Athleague is a small village in County Roscommon, Ireland, known for its rural setting and location near the River Suck.
-
B.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
-
C.
Athlead
Athlead is a fictional sports marketing startup founded by Jim Halpert in the TV series "The Office."
-
D.
Atlit
Atlit is a coastal town in northern Israel known for its Crusader-era fortress, detention camp museum, and proximity to Haifa.
-
E.
Argolis
Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80249c819091569e7b8d500b45 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.