Triple
T16781874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corbera d'Ebre |
E407875
|
entity |
| Predicate | hasPreservedRuins |
P32402
|
FINISHED |
| Object | Spanish Civil War-era buildings |
—
|
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: Spanish Civil War-era buildings | Statement: [Corbera d'Ebre, hasPreservedRuins, Spanish Civil War-era buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreservedRuins Context triple: [Corbera d'Ebre, hasPreservedRuins, Spanish Civil War-era buildings]
-
A.
hasRomanRemains
Indicates that the subject contains or is the location of physical remains or archaeological evidence from the Roman period.
-
B.
hasMonasteryRuins
Indicates that an entity possesses or contains the remains or ruins of a former monastery.
-
C.
hasPreservedBuildings
Indicates that an entity possesses buildings that have been maintained or kept in their original or historical condition.
-
D.
hasRuin
chosen
Indicates that one entity possesses, contains, or is associated with a ruin or ruined structure.
-
E.
hasArchaeologicalSiteIn
Indicates that an entity possesses, contains, or is associated with an archaeological site located within a specified place or region.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b216726881908ddc9cdc772cd5e4 |
completed | April 18, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.