Triple
T332448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffith Observatory |
E6653
|
entity |
| Predicate | underwentRenovation |
P3322
|
FINISHED |
| Object | 2002–2006 |
—
|
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: 2002–2006 | Statement: [Griffith Observatory, underwentRenovation, 2002–2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underwentRenovation Context triple: [Griffith Observatory, underwentRenovation, 2002–2006]
-
A.
hasRenovation
chosen
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
B.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
C.
renovationCompleted
Indicates that a renovation process for an entity has been fully finished and is no longer in progress.
-
D.
renovationFeature
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
-
E.
underwent
Indicates that an entity experienced or was subjected to a process, event, or change, typically as the patient of an action.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eab1a7048190ac690ddc2e294914 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.