Triple
T33524078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Dorchester |
E858587
|
entity |
| Predicate | oneOfEarliestSettlementsIn |
P177414
|
FINISHED |
| Object | Massachusetts Bay Colony |
—
|
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: Massachusetts Bay Colony | Statement: [Town of Dorchester, oneOfEarliestSettlementsIn, Massachusetts Bay Colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfEarliestSettlementsIn Context triple: [Town of Dorchester, oneOfEarliestSettlementsIn, Massachusetts Bay Colony]
-
A.
oneOfEarliestEnglishSettlementsIn
Indicates that the subject is among the earliest English settlements located in the specified place.
-
B.
originOfSettlement
Indicates the place, source, or starting point from which a settlement was established or originated.
-
C.
earliestPermanentSettlement
Indicates that one entity is the location or instance of the first long-term, continuously inhabited settlement associated with another entity.
-
D.
isOldestAmericanSettlementOn
Indicates that one entity is the oldest American settlement located on or within the specified geographic entity.
-
E.
firstModernSettlementEstablished
Indicates that the subject is the location where the earliest modern-era settlement was founded or established.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:39 a.m.