Triple
T29751380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lighthouse of Colonia del Sacramento |
E752908
|
entity |
| Predicate | builtAmidRuins |
P32402
|
FINISHED |
| Object | old convent ruins |
—
|
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: old convent ruins | Statement: [Lighthouse of Colonia del Sacramento, builtAmidRuins, old convent ruins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtAmidRuins Context triple: [Lighthouse of Colonia del Sacramento, builtAmidRuins, old convent ruins]
-
A.
hasRuinsOn
Indicates that one location or object contains or is the site of ruins situated upon it.
-
B.
hasRuin
chosen
Indicates that one entity possesses, contains, or is associated with a ruin or ruined structure.
-
C.
cityRuinsOf
Indicates that a city is located on or associated with the ruins of another, earlier city.
-
D.
builtInThe
Indicates that something was constructed or created within a specified location, structure, or context.
-
E.
savedFromDemolition
Indicates that one entity prevented another entity (typically a structure or site) from being destroyed or torn down.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6736ad5e48190bab89c27970a8e74 |
completed | May 2, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 7:54 p.m.