Triple
T38136438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi River forts |
E952363
|
entity |
| Predicate | manyNow |
P65145
|
FINISHED |
| Object | historic sites |
—
|
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: historic sites | Statement: [Mississippi River forts, manyNow, historic sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manyNow Context triple: [Mississippi River forts, manyNow, historic sites]
-
A.
now
Indicates that an action, state, or relationship is occurring at the present moment in time.
-
B.
manyMembersAre
chosen
Indicates that a large number of members within a group possess a specified property or participate in a particular role or condition.
-
C.
nowCalled
Indicates that an entity previously known by one name is currently referred to by a different name.
-
D.
among
Indicates that one or more entities are considered as part of, or in relation to, a larger group or collection of entities.
-
E.
generaCountApproximate
Indicates an approximate or estimated number of genera associated with an entity.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.