Triple
T33569790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman bridge of Salamanca |
E859862
|
entity |
| Predicate | partiallyRebuiltBy |
P124228
|
FINISHED |
| Object | King Alfonso IX of León |
—
|
NE NERFINISHED |
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: King Alfonso IX of León | Statement: [Roman bridge of Salamanca, partiallyRebuiltBy, King Alfonso IX of León]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyRebuiltBy Context triple: [Roman bridge of Salamanca, partiallyRebuiltBy, King Alfonso IX of León]
-
A.
partlyRebuilt
chosen
Indicates that an entity has been reconstructed or restored to some extent, but not fully.
-
B.
reconstructedAsPartOf
Indicates that one entity has been rebuilt, restored, or recreated as a component or segment of another, larger whole.
-
C.
laterRebuiltAs
Indicates that one entity was reconstructed or redeveloped at a later time to become or be replaced by another specific entity.
-
D.
rebuiltFor
Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
-
E.
restoredInPart
Indicates that something has been brought back to a previous or improved state, but only partially rather than fully.
- 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 1, 2026, 1:40 a.m.