Triple
T26611728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tynemouth Lighthouse |
E667940
|
entity |
| Predicate | positionRelativeToTown |
P179191
|
FINISHED |
| Object | east of Tynemouth town centre |
—
|
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: east of Tynemouth town centre | Statement: [Tynemouth Lighthouse, positionRelativeToTown, east of Tynemouth town centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToTown Context triple: [Tynemouth Lighthouse, positionRelativeToTown, east of Tynemouth town centre]
-
A.
positionRelativeToBuilding
Indicates the spatial relationship of an entity’s location with respect to a specific building (e.g., in front of, behind, adjacent to, on top of).
-
B.
positionOnTerritory
Indicates that one entity occupies or is located at a specific position within the spatial extent of another entity’s territory.
-
C.
positionRelativeToTower
Indicates the spatial relationship or placement of an entity with respect to a specified tower.
-
D.
locationRelativeToLargestCity
Indicates how a place is spatially positioned or oriented in relation to the largest city in a given area or region.
-
E.
hasNearbyTown
Indicates that one location has a town 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 27, 2026, 2:17 a.m.