Triple
T35672712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pothia town center |
E1030768
|
entity |
| Predicate | distanceFromHarbor |
P207089
|
FINISHED |
| Object | short walking distance |
—
|
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: short walking distance | Statement: [Pothia town center, distanceFromHarbor, short walking distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromHarbor Context triple: [Pothia town center, distanceFromHarbor, short walking distance]
-
A.
distanceToLand’sEnd
Indicates the measured distance between a given location or object and the specific place referred to as Land’s End.
-
B.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
D.
distanceToHentiesBay_km
Indicates the distance, measured in kilometers, from a given location to Henties Bay.
-
E.
hasNearbyHarbor
Indicates that one location has a harbor situated close to it in geographic proximity.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.