Triple
T6086483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Trafalgar |
E135650
|
entity |
| Predicate | lighthouseHeight |
P68572
|
FINISHED |
| Object | approximately 34 meters |
—
|
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: approximately 34 meters | Statement: [Cape Trafalgar, lighthouseHeight, approximately 34 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lighthouseHeight Context triple: [Cape Trafalgar, lighthouseHeight, approximately 34 meters]
-
A.
lighthouseConstructedIn
Indicates that a lighthouse was built or established during a specific time period or in a specific year.
-
B.
lighthouseName
Indicates that a lighthouse is identified by a specific name.
-
C.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
-
D.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
E.
lighthouseStatus
Indicates the operational condition or state (e.g., active, inactive, under maintenance) of a lighthouse at a given time.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578a8b8081908490e447ae3419f9 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.