Triple
T13712003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Needles Lighthouse |
E328793
|
entity |
| Predicate | yearOfAutomation |
P111285
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Needles Lighthouse, yearOfAutomation, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfAutomation Context triple: [Needles Lighthouse, yearOfAutomation, 1994]
-
A.
yearOfDevelopment
Indicates the specific year in which something was developed or created.
-
B.
deploymentYear
Indicates the calendar year in which an entity (such as a system, product, or resource) was first put into active use or operation.
-
C.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
D.
automatedIn
Indicates that an action, process, or operation is performed automatically within or by a specified system, context, or environment.
-
E.
incorporationYear
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:54 p.m.