Triple
T24446151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Franklin County, Massachusetts |
E616410
|
entity |
| Predicate | includesTownHistory |
P156154
|
FINISHED |
| Object | Deerfield, Massachusetts |
—
|
NE NERFINISHED |
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: Deerfield, Massachusetts | Statement: [History of Franklin County, Massachusetts, includesTownHistory, Deerfield, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTownHistory Context triple: [History of Franklin County, Massachusetts, includesTownHistory, Deerfield, Massachusetts]
-
A.
historicalMainTown
Indicates that one place served as the primary or principal town for another place during a specific historical period.
-
B.
containsHistoricTown
Indicates that one entity geographically includes or encompasses a town that has recognized historical significance.
-
C.
hasMarketTownHistory
Indicates that an entity has a historical association with functioning as a market town or possessing recognized market-town status in the past.
-
D.
historicalTownshipOf
Indicates that one entity was formerly a township encompassing or governing the other entity during a past historical period.
-
E.
historicalTownName
Indicates that the object is a former or historical name by which the town (subject) was previously known.
- 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_69e2d7edca608190aafefc8877a1b4da |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29853a3ac81908bb5398539a44cd6 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:17 a.m.