Triple
T1390212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Round Island Lighthouse |
E29936
|
entity |
| Predicate | deactivated |
P28221
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [Round Island Lighthouse, deactivated, 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deactivated Context triple: [Round Island Lighthouse, deactivated, 1947]
-
A.
retired
Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
-
B.
repealed
Indicates that a law, rule, or regulation has been officially revoked or annulled so that it no longer has legal effect.
-
C.
demonetized
Indicates that something has lost its status or validity as legal tender or a source of monetization, and can no longer be used to generate revenue in the usual way.
-
D.
demobilization
Indicates the process by which armed forces or combatants are formally released from military service and military structures are reduced or disbanded.
-
E.
declineAfter
Indicates that one entity or value decreases or worsens following another specified event, condition, or point in time.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35e023c8190b45688796d90534b |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c2f16ae081908c92792253f3eb4b |
completed | March 1, 2026, 10:51 p.m. |
Created at: March 1, 2026, 7:59 p.m.