Triple
T24386666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop Head Peninsula |
E614766
|
entity |
| Predicate | lighthouseFirstBuilt |
P64263
|
FINISHED |
| Object | 1670 |
—
|
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: 1670 | Statement: [Loop Head Peninsula, lighthouseFirstBuilt, 1670]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lighthouseFirstBuilt Context triple: [Loop Head Peninsula, lighthouseFirstBuilt, 1670]
-
A.
lighthouseConstructedIn
chosen
Indicates that a lighthouse was built or established during a specific time period or in a specific year.
-
B.
firstLighthouseDestroyedIn
Indicates that the referenced lighthouse was the first one to be destroyed in the specified event or location.
-
C.
isOldestLighthouseOn
Indicates that one lighthouse is the oldest existing lighthouse located on a specified landmass or geographic area.
-
D.
isOldestContinuouslyOperatingLighthouseIn
Indicates that a lighthouse is the oldest one in a given place that has remained in continuous operation without interruption.
-
E.
isFirstLighthouseIn
Indicates that a lighthouse is the earliest or first one established within a specified location or region.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29454c36c8190b7820dbf5af7b695 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:03 a.m.