Triple
T13685136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Needles Lighthouse |
E328101
|
entity |
| Predicate | yearOfFirstLighting |
P81080
|
FINISHED |
| Object | 1859 |
—
|
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: 1859 | Statement: [The Needles Lighthouse, yearOfFirstLighting, 1859]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFirstLighting Context triple: [The Needles Lighthouse, yearOfFirstLighting, 1859]
-
A.
firstLightingYear
chosen
Indicates the year in which something (such as a light source or lighting installation) was first put into operation or illuminated.
-
B.
firstInscriptionYear
Indicates the year in which an entity was first inscribed, recorded, or officially entered into a relevant register or list.
-
C.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
D.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
E.
firstCreationYear
Indicates the year in which something was first created or originally produced.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66f8acc8190b2a82b722930b995 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.