Triple
T7811686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Massacre victims’ monument |
E180698
|
entity |
| Predicate | associatedWithYearOfEvent |
P75923
|
FINISHED |
| Object | 1770 |
—
|
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: 1770 | Statement: [Boston Massacre victims’ monument, associatedWithYearOfEvent, 1770]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithYearOfEvent Context triple: [Boston Massacre victims’ monument, associatedWithYearOfEvent, 1770]
-
A.
yearOfEventSupport
Indicates the specific year in which support for a particular event occurred or was provided.
-
B.
yearOfEventLed
Indicates the specific year in which a particular event took place or was carried out.
-
C.
hasAssociatedYear
chosen
Indicates that an entity is linked to a specific year that is relevant to it (e.g., creation, occurrence, or reference year).
-
D.
timeOfEventCommemorated
Indicates the specific time or date at which the event being commemorated originally occurred.
-
E.
commemoratedYear
Indicates the specific year in which an event, person, or entity is formally remembered, honored, or celebrated.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78cd1cc8190b4cdd9850e1e2bb7 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:37 p.m.