Triple
T15053285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davaar Island |
E379420
|
entity |
| Predicate | lighthouseBuiltIn |
P117141
|
FINISHED |
| Object | mid-19th century |
—
|
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: mid-19th century | Statement: [Davaar Island, lighthouseBuiltIn, mid-19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lighthouseBuiltIn Context triple: [Davaar Island, lighthouseBuiltIn, mid-19th century]
-
A.
lighthouseFunction
Indicates that an entity serves as a lighthouse, providing navigational guidance or warning signals to other entities (such as ships or aircraft).
-
B.
lighthouseAutomated
Indicates that a lighthouse operates automatically without the need for on-site human keepers.
-
C.
lighthouseStatus
Indicates the operational condition or state (e.g., active, inactive, under maintenance) of a lighthouse at a given time.
-
D.
lighthouseColor
Indicates the color attribute associated with a lighthouse.
-
E.
hasLightHouse
Indicates that one place or structure possesses, contains, or is associated with a lighthouse.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda92091c81909180f486edf01405 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:01 a.m.