Triple
T25270571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunmail Raise |
E633555
|
entity |
| Predicate | closestSettlementNorth |
P158436
|
FINISHED |
| Object |
Thirlspot
Thirlspot is a small hamlet in England’s Lake District, situated near the northern end of Thirlmere and surrounded by mountainous scenery.
|
E1675524
|
NE FINISHED |
How this triple was built (3 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: Thirlspot | Statement: [Dunmail Raise, closestSettlementNorth, Thirlspot]
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: Thirlspot Triple: [Dunmail Raise, closestSettlementNorth, Thirlspot]
Generated description
Thirlspot is a small hamlet in England’s Lake District, situated near the northern end of Thirlmere and surrounded by mountainous scenery.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestSettlementNorth Context triple: [Dunmail Raise, closestSettlementNorth, Thirlspot]
-
A.
hasNearestLargerSettlement
Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
-
B.
closestTownOnWest
Indicates that one town is the nearest town located to the west of another specified place.
-
C.
closestTownOnEast
Indicates that one town is the nearest town located to the east of another reference location.
-
D.
nearbySettlementRegion
Indicates that a settlement is located close to or within the surrounding area of a specified region.
-
E.
nearestInhabitedTerritory
Indicates that one territory is the closest inhabited territory to another specified location or territory.
- F. None of above. chosen
Provenance (7 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48ba1a1f88190b3db79ec06bfa994 |
completed | May 1, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1075d550b48190b194be7ac2c20ee6 |
completed | May 22, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_6a107744f43c81909026c2012da82a2d |
completed | May 22, 2026, 3:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1077e5ab8c8190b7e81764d7aacc72 |
completed | May 22, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:16 p.m.