Triple
T1092158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Bridge |
E24188
|
entity |
| Predicate | memorialDayUse |
P500
|
FINISHED |
| Object | site of commemorative ceremonies on Patriots’ Day |
—
|
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: site of commemorative ceremonies on Patriots’ Day | Statement: [North Bridge, memorialDayUse, site of commemorative ceremonies on Patriots’ Day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialDayUse Context triple: [North Bridge, memorialDayUse, site of commemorative ceremonies on Patriots’ Day]
-
A.
memorialDayDate
Indicates the specific calendar date on which Memorial Day occurs or is observed.
-
B.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
C.
commemoratesEventOn
Indicates that one entity marks, honors, or observes a specific event on a particular date or occasion.
-
D.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
-
E.
commemoratedBy
chosen
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b982018481908b222df095e318c0 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b741b0cc8190be001a16a81f6d9e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.