Triple
T6449382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Suck |
E139824
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Athleague
Athleague is a small village in County Roscommon, Ireland, known for its rural setting and location near the River Suck.
|
E594474
|
NE FINISHED |
How this triple was built (4 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: [River Suck, flowsThrough, Athleague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athleague Context triple: [River Suck, flowsThrough, Athleague]
-
A.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
-
B.
Athlead
Athlead is a fictional sports marketing startup founded by Jim Halpert in the TV series "The Office."
-
C.
Argolis
Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
-
D.
Matheny
Matheny is a surname most notably associated with former Major League Baseball catcher and manager Mike Matheny.
-
E.
Liddell
Liddell is a Scottish surname most famously associated with Eric Liddell, the Olympic champion and Christian missionary depicted in the film "Chariots of Fire."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Athleague Triple: [River Suck, flowsThrough, Athleague]
Generated description
Athleague is a small village in County Roscommon, Ireland, known for its rural setting and location near the River Suck.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Athleague Target entity description: Athleague is a small village in County Roscommon, Ireland, known for its rural setting and location near the River Suck.
-
A.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
-
B.
Athlead
Athlead is a fictional sports marketing startup founded by Jim Halpert in the TV series "The Office."
-
C.
Argolis
Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
-
D.
Matheny
Matheny is a surname most notably associated with former Major League Baseball catcher and manager Mike Matheny.
-
E.
Liddell
Liddell is a Scottish surname most famously associated with Eric Liddell, the Olympic champion and Christian missionary depicted in the film "Chariots of Fire."
- F. None of above. chosen
Provenance (5 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b1a61c81908610264c098d25b0 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bd290c481909f543cc03eee98bf |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64dce99fc819089fbe8925dc52b7a |
completed | March 27, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64e5cd1b88190abcdc8af02991d1d |
completed | March 27, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:47 p.m.