Triple
T20114084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noss Head Lighthouse |
E490407
|
entity |
| Predicate | lanternDesign |
P138737
|
FINISHED |
| Object | diagonal-pane lantern |
—
|
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: diagonal-pane lantern | Statement: [Noss Head Lighthouse, lanternDesign, diagonal-pane lantern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lanternDesign Context triple: [Noss Head Lighthouse, lanternDesign, diagonal-pane lantern]
-
A.
lanternColor
Indicates that one entity specifies or describes the color attribute of a lantern associated with another entity.
-
B.
typicalLanternDiameter
Indicates the usual or standard diameter measurement associated with a lantern.
-
C.
hasDomeLantern
Indicates that one entity possesses or features a dome-shaped lantern structure as part of its form or design.
-
D.
hasLanternShape
Indicates that one entity has the form, outline, or configuration characteristic of a lantern.
-
E.
lanternContains
Indicates that a lantern holds or encloses a specified object or substance within it.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e31af081908d8e0c867c388a73 |
completed | April 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:29 p.m.