Triple
T13599272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddystone Rocks |
E324900
|
entity |
| Predicate | firstLighthouseConstructionStart |
P21877
|
FINISHED |
| Object | 1696 |
—
|
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: 1696 | Statement: [Eddystone Rocks, firstLighthouseConstructionStart, 1696]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLighthouseConstructionStart Context triple: [Eddystone Rocks, firstLighthouseConstructionStart, 1696]
-
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.
isFirstLighthouseIn
Indicates that a lighthouse is the earliest or first one established within a specified location or region.
-
D.
earliestMajorConstruction
chosen
Indicates the earliest significant construction event associated with an entity, such as the first major building or development work completed for it.
-
E.
dateOfCanonicalErection
Indicates the official date on which an institution, organization, or entity was formally and canonically established or erected according to relevant legal or religious norms.
- 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.