Triple
T1501422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Seats |
E33802
|
entity |
| Predicate | partOfRenovation |
P8964
|
FINISHED |
| Object | early 2000s Fenway Park renovations |
—
|
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: early 2000s Fenway Park renovations | Statement: [Monster Seats, partOfRenovation, early 2000s Fenway Park renovations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfRenovation Context triple: [Monster Seats, partOfRenovation, early 2000s Fenway Park renovations]
-
A.
renovationFeature
chosen
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
-
B.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
C.
brokeGroundForRenovation
Indicates that an entity initiated construction work to renovate or significantly upgrade another entity or site.
-
D.
renovationPurpose
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
-
E.
renovationPeriod
Indicates the time span during which an object, structure, or entity undergoes renovation or refurbishment.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.