Triple
T32048045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaminarimon |
E818404
|
entity |
| Predicate | lanternHeight |
P173152
|
FINISHED |
| Object | about 3.9 metres |
—
|
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: about 3.9 metres | Statement: [Kaminarimon, lanternHeight, about 3.9 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lanternHeight Context triple: [Kaminarimon, lanternHeight, about 3.9 metres]
-
A.
typicalLanternDiameter
Indicates the usual or standard diameter measurement associated with a lantern.
-
B.
lanternColor
Indicates that one entity specifies or describes the color attribute of a lantern associated with another entity.
-
C.
lighthouseHeight
Indicates the vertical measurement of a lighthouse from its base to its top.
-
D.
lanternDesign
Indicates a relationship where one entity is responsible for the design, style, or pattern of a lantern associated with another entity.
-
E.
hasLanternLightSource
Indicates that an entity uses a lantern as its source of light.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4c34e2c819088c66b77fbd7dfca |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b267b90c8190807208cadce5ae8d |
completed | May 3, 2026, 2:26 a.m. |
Created at: May 1, 2026, 12:20 a.m.