Triple
T2011933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elie Lighthouse |
E43705
|
entity |
| Predicate | lightVisibleFrom |
P11173
|
FINISHED |
| Object | sea |
—
|
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: sea | Statement: [Elie Lighthouse, lightVisibleFrom, sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightVisibleFrom Context triple: [Elie Lighthouse, lightVisibleFrom, sea]
-
A.
lightLevel
Indicates the intensity or amount of light present in a given context or environment.
-
B.
lightRange
chosen
Indicates the distance or area over which a light source effectively emits or illuminates.
-
C.
apparentBrightness
Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
-
D.
isIlluminatedAtNight
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
E.
visibleFromEarth
Indicates that the object can be observed from Earth, either with the naked eye or with appropriate instruments, under suitable viewing conditions.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b150a8819096c919465fd91ab5 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.