Triple
T13599288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddystone Rocks |
E324900
|
entity |
| Predicate | fourthLighthouseAutomation |
P18513
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [Eddystone Rocks, fourthLighthouseAutomation, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthLighthouseAutomation Context triple: [Eddystone Rocks, fourthLighthouseAutomation, 1982]
-
A.
fourthBoat
Indicates that an entity is the fourth boat in an ordered sequence or ranking of boats.
-
B.
lighthouseAutomated
chosen
Indicates that a lighthouse operates automatically without the need for on-site human keepers.
-
C.
lighthouseConstructedIn
Indicates that a lighthouse was built or established during a specific time period or in a specific year.
-
D.
fourteenthStation
Indicates the relationship in which an event, object, or location is identified as the fourteenth station in a sequential series (such as the Stations of the Cross).
-
E.
fourthShipRenamedAs
Indicates that a ship, specifically the fourth in a sequence or context, has had its name changed to another designated name.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.