Triple
T5951540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naumkeag |
E132408
|
entity |
| Predicate | preColonialNameFor |
P66951
|
FINISHED |
| Object | area of present-day Salem, Massachusetts |
—
|
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: area of present-day Salem, Massachusetts | Statement: [Naumkeag, preColonialNameFor, area of present-day Salem, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preColonialNameFor Context triple: [Naumkeag, preColonialNameFor, area of present-day Salem, Massachusetts]
-
A.
hasColonialName
Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
-
B.
colonialNameUsedBy
Indicates that a colonial-era name for a place, group, or entity is used or applied by a particular agent or source.
-
C.
formerColonyName
Indicates that one entity is the historical or previous name used for a colony that later changed its political status or designation.
-
D.
preColonialStatus
Indicates the condition, role, or social-political standing an entity held prior to the onset of colonial rule.
-
E.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03edf98b881908e9dbc03d3fd6218 |
completed | March 22, 2026, 7:11 p.m. |
Created at: March 22, 2026, 4:02 p.m.