Triple
T37977999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunica language |
E947475
|
entity |
| Predicate | documentedFromSpeaker |
P189697
|
FINISHED |
| Object | Sesostrie Youchigant |
—
|
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: Sesostrie Youchigant | Statement: [Tunica language, documentedFromSpeaker, Sesostrie Youchigant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentedFromSpeaker Context triple: [Tunica language, documentedFromSpeaker, Sesostrie Youchigant]
-
A.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
B.
representedBySpeaker
Indicates that something is expressed, conveyed, or symbolized through a particular speaker as its representative voice or agent.
-
C.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
D.
usedBySpeakers
Indicates that something (such as a resource, tool, or method) is employed or utilized by speakers.
-
E.
speaksFor
Indicates that one entity expresses views, decisions, or positions on behalf of another entity.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.