Triple
T34740076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentia Island |
E1001470
|
entity |
| Predicate | lighthouseLocation |
P140075
|
FINISHED |
| Object | Cromwell Point |
—
|
NE NERFINISHED |
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: Cromwell Point | Statement: [Valentia Island, lighthouseLocation, Cromwell Point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lighthouseLocation Context triple: [Valentia Island, lighthouseLocation, Cromwell Point]
-
A.
lighthouseLocatedAt
chosen
Indicates that a lighthouse is situated at or associated with a specific geographic location.
-
B.
lighthouseName
Indicates that a lighthouse is identified by a specific name.
-
C.
lighthouseType
Indicates the specific classification or category of a lighthouse based on its design, function, or operational characteristics.
-
D.
lighthouseHeight
Indicates the vertical measurement of a lighthouse from its base to its top.
-
E.
lighthouseConstructedIn
Indicates that a lighthouse was built or established during a specific time period or in a specific year.
- F. None of above.
Provenance (3 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.