Triple
T12197896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old State House, Boston |
E290635
|
entity |
| Predicate | hasSiteRole |
P161
|
FINISHED |
| Object | overlooks Boston Massacre site |
—
|
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: overlooks Boston Massacre site | Statement: [Old State House, Boston, hasSiteRole, overlooks Boston Massacre site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiteRole Context triple: [Old State House, Boston, hasSiteRole, overlooks Boston Massacre site]
-
A.
hasRole
chosen
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
B.
hasSiteGroup
Indicates that an entity is associated with or belongs to a particular site group.
-
C.
hasGlobalRole
Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
-
D.
hasSafetyRole
Indicates that an entity holds a responsibility or function related to safety within a given context or system.
-
E.
hasLegalRole
Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or context.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.