Triple
T17666500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Island Point |
E440396
|
entity |
| Predicate | lighthouseType |
P128476
|
FINISHED |
| Object | active lighthouse |
—
|
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: active lighthouse | Statement: [Double Island Point, lighthouseType, active lighthouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lighthouseType Context triple: [Double Island Point, lighthouseType, active lighthouse]
-
A.
lighthouseColor
Indicates the color attribute associated with a lighthouse.
-
B.
lighthouseHeight
Indicates the vertical measurement of a lighthouse from its base to its top.
-
C.
lighthouseName
Indicates that a lighthouse is identified by a specific name.
-
D.
lighthouseBuiltIn
Indicates that a lighthouse was constructed or established in a specific location or during a specific time period.
-
E.
lighthouseFunction
Indicates that an entity serves as a lighthouse, providing navigational guidance or warning signals to other entities (such as ships or aircraft).
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea9d91c81908414ef38c7fb36a4 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 9:57 a.m.