Triple
T13599275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddystone Rocks |
E324900
|
entity |
| Predicate | firstLighthouseDestroyedIn |
P110245
|
FINISHED |
| Object | 1703 Great Storm |
—
|
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: 1703 Great Storm | Statement: [Eddystone Rocks, firstLighthouseDestroyedIn, 1703 Great Storm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLighthouseDestroyedIn Context triple: [Eddystone Rocks, firstLighthouseDestroyedIn, 1703 Great Storm]
-
A.
lighthouseConstructedIn
Indicates that a lighthouse was built or established during a specific time period or in a specific year.
-
B.
isOldestLighthouseOn
Indicates that one lighthouse is the oldest existing lighthouse located on a specified landmass or geographic area.
-
C.
firstBuildingDestroyedByFire
Indicates that the first building in a given context was destroyed as a result of a fire.
-
D.
isFirstLighthouseIn
Indicates that a lighthouse is the earliest or first one established within a specified location or region.
-
E.
firstPalaceDestroyedIn
Indicates that the first palace associated with an entity was destroyed in a specified event, time, or place.
- 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_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. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.