Triple
T35376731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crookstown, County Cork |
E1022532
|
entity |
| Predicate | hasApproximateDirectionFromCorkCity |
P195789
|
FINISHED |
| Object | west |
—
|
LITERAL 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: west | Statement: [Crookstown, County Cork, hasApproximateDirectionFromCorkCity, west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateDirectionFromCorkCity Context triple: [Crookstown, County Cork, hasApproximateDirectionFromCorkCity, west]
-
A.
directionFromCityCentre
Indicates the compass direction in which one location lies relative to the city centre.
-
B.
hasApproximateDirectionFromCasablanca
Indicates that one entity is located in a direction that is only roughly or loosely specified relative to Casablanca.
-
C.
hasAdjacentStationTowardsDublin
Indicates that one station is directly next to another station in the direction of Dublin.
-
D.
isInDirectionTowardsCentralLondon
Indicates that something is oriented or moving in the direction leading toward central London.
-
E.
isInDirectionFromBudapest
Indicates that one entity is located in a specified compass or geographic direction when measured outward starting from Budapest.
- F. None of above. chosen
Provenance (4 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: May 3, 2026, 4:03 p.m.