Triple
T33779116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Language in the Americas |
E865603
|
entity |
| Predicate | fieldReception |
P180378
|
FINISHED |
| Object | widely rejected by most historical linguists |
—
|
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: widely rejected by most historical linguists | Statement: [Language in the Americas, fieldReception, widely rejected by most historical linguists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldReception Context triple: [Language in the Americas, fieldReception, widely rejected by most historical linguists]
-
A.
fieldSide
Indicates the relative side or position of something with respect to a defined field or playing area.
-
B.
fielded
Indicates that an entity deployed, presented, or put forward another entity (such as a person, team, or resource) for participation or use in a particular context or activity.
-
C.
yardsPerReception
Indicates the average number of yards gained each time a player makes a reception.
-
D.
fieldedIn
Indicates that an entity was deployed, presented, or put into active use within a particular context, event, or domain.
-
E.
fieldOfConference
Indicates the academic or professional subject area that a conference is focused on or associated with.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: May 1, 2026, 1:45 a.m.