Triple
T19747870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île de Batz |
E474298
|
entity |
| Predicate | lighthouseInaugurationYear |
P64263
|
FINISHED |
| Object | 1836 |
—
|
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: 1836 | Statement: [Île de Batz, lighthouseInaugurationYear, 1836]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lighthouseInaugurationYear Context triple: [Île de Batz, lighthouseInaugurationYear, 1836]
-
A.
lighthouseConstructedIn
chosen
Indicates that a lighthouse was built or established during a specific time period or in a specific year.
-
B.
lighthouseHeight
Indicates the vertical measurement of a lighthouse from its base to its top.
-
C.
isOldestContinuouslyOperatingLighthouseIn
Indicates that a lighthouse is the oldest one in a given place that has remained in continuous operation without interruption.
-
D.
isOldestLighthouseOn
Indicates that one lighthouse is the oldest existing lighthouse located on a specified landmass or geographic area.
-
E.
lighthouseName
Indicates that a lighthouse is identified by a specific name.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65295f3b88190a541354f41e3ea1d |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.