Triple
T234092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts State House |
E4470
|
entity |
| Predicate | previousBuildingOnSite |
P4380
|
FINISHED |
| Object | John Hancock’s pasture |
—
|
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: John Hancock’s pasture | Statement: [Massachusetts State House, previousBuildingOnSite, John Hancock’s pasture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousBuildingOnSite Context triple: [Massachusetts State House, previousBuildingOnSite, John Hancock’s pasture]
-
A.
formerSiteOf
chosen
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
B.
constructionSite
Indicates that an entity is a location or area where construction work is actively taking place or is planned to occur.
-
C.
previousGround
Indicates that one entity is the immediately preceding ground or surface state relative to another in a sequence or progression.
-
D.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
E.
builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f14f72081908182e76300b59358 |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b5c8c888190b5544e687736b373 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.