Triple
T18825178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menotomy skirmish |
E460366
|
entity |
| Predicate | sequenceInEvent |
P133550
|
FINISHED |
| Object | occurred during British retreat from Concord to Boston |
—
|
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: occurred during British retreat from Concord to Boston | Statement: [Menotomy skirmish, sequenceInEvent, occurred during British retreat from Concord to Boston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceInEvent Context triple: [Menotomy skirmish, sequenceInEvent, occurred during British retreat from Concord to Boston]
-
A.
sequenceInWork
Indicates that one work appears as a sequential part or installment within a larger overarching work.
-
B.
sequenceID
Indicates that an entity is associated with a specific position or identifier within an ordered sequence.
-
C.
sequenceInCategory
Indicates that one entity occurs as an ordered element within a specific category or grouping of items.
-
D.
sequenceInTerm
Indicates that one element occurs as an ordered part or segment within a larger term or expression.
-
E.
sequenceWith
Indicates that one entity occurs in a specific order directly before or after another entity as part of a defined sequence.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bdefac8190892d6fd5c20a431e |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:56 a.m.