Triple
T12978860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woburn Memorial High School |
E321600
|
entity |
| Predicate | hasMemorialDesignation |
P107878
|
FINISHED |
| Object | Memorial |
—
|
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: Memorial | Statement: [Woburn Memorial High School, hasMemorialDesignation, Memorial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemorialDesignation Context triple: [Woburn Memorial High School, hasMemorialDesignation, Memorial]
-
A.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an entity.
-
B.
nationalDesignation
Indicates that an entity has been formally assigned a specific status, title, or classification by a nation or national authority.
-
C.
yearDesignatedNationalMemorial
Indicates the year in which something was officially designated as a national memorial.
-
D.
isNationalMemorialOf
Indicates that a site, structure, or monument has been officially designated as a national memorial commemorating or representing a particular entity, event, or subject.
-
E.
historicalDesignation
Indicates that an entity has been formally assigned a particular status, title, or classification based on its historical significance.
- F. None of above. chosen
Provenance (4 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97f1badac8190a59e60751f47b8d6 |
completed | April 10, 2026, 10:52 p.m. |
Created at: April 9, 2026, 8:38 p.m.