Triple
T6490460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chillán |
E148021
|
entity |
| Predicate | hasReconstructionHistory |
P28319
|
FINISHED |
| Object | rebuilt after earthquakes |
—
|
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: rebuilt after earthquakes | Statement: [Chillán, hasReconstructionHistory, rebuilt after earthquakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructionHistory Context triple: [Chillán, hasReconstructionHistory, rebuilt after earthquakes]
-
A.
hasReconstructionWork
chosen
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
B.
hasReconstructionType
Indicates the specific method or category of reconstruction applied to an object, structure, or dataset.
-
C.
hasAnimatedReconstruction
Indicates that an entity is associated with an animated reconstruction depicting it or one of its states or events.
-
D.
hasReconstructionLevel
Indicates the degree or stage to which something has been rebuilt, restored, or reconstructed.
-
E.
hasReconstructionStandard
Indicates that something is associated with or governed by a specific standard or guideline for how it should be reconstructed.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9a8d8481908d88e5c9f0c773f7 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.