Triple
T14894287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston City Hall Plaza fountain |
E359829
|
entity |
| Predicate | reasonForAlteration |
P5019
|
FINISHED |
| Object | plaza redesign |
—
|
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: plaza redesign | Statement: [Boston City Hall Plaza fountain, reasonForAlteration, plaza redesign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForAlteration Context triple: [Boston City Hall Plaza fountain, reasonForAlteration, plaza redesign]
-
A.
reasonForChange
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
B.
changeReason
chosen
Indicates the reason or justification for a modification or change made to an entity or its state.
-
C.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
D.
restorationReason
Indicates the reason or justification for which something that was previously removed, disabled, or altered has been restored to its former state.
-
E.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:10 a.m.