Triple
T7197280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Macdui |
E168647
|
entity |
| Predicate | rankingInUnitedKingdomByHeight |
P75680
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Ben Macdui, rankingInUnitedKingdomByHeight, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingInUnitedKingdomByHeight Context triple: [Ben Macdui, rankingInUnitedKingdomByHeight, 2]
-
A.
rankingInEnglandByHeight
Indicates the relative position of an entity in an ordered list based on its height specifically within the context of England.
-
B.
formerRankInUKByHeight
Indicates that an entity previously held a specific rank in the United Kingdom when entities are ordered by height.
-
C.
rankingInBritishIslesByHeight
Indicates the position of an entity in an ordered list of heights specifically within the British Isles.
-
D.
rankingInScotlandByHeight
Indicates the position of something in an ordered list of tallest entities specifically within Scotland.
-
E.
rankAmongTallestBuildings
Indicates that one building is among the tallest buildings within a specified group, area, or category.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e928ecdc8190a7f3feaf6d28781b |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e8b5f6508190af28e06a7959d717 |
completed | March 27, 2026, 8:29 p.m. |
Created at: March 27, 2026, 2:51 p.m.