Triple
T31395836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaiwiio |
E800860
|
entity |
| Predicate | hasInstitutionalSetting |
P122500
|
FINISHED |
| Object | longhouse communities |
—
|
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: longhouse communities | Statement: [Gaiwiio, hasInstitutionalSetting, longhouse communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionalSetting Context triple: [Gaiwiio, hasInstitutionalSetting, longhouse communities]
-
A.
hasInstitutionalContext
chosen
Indicates that something exists or occurs within the framework, setting, or environment of a particular institution or institutional structure.
-
B.
isInstitutional
Indicates that an entity functions as or is classified as an institution within the given context.
-
C.
hasInstitutionalHome
Indicates that an entity is formally based in, hosted by, or affiliated with a particular institution as its organizational home.
-
D.
hasInstitutionalPresenceIn
Indicates that an institution maintains an established presence, such as operations, offices, or activities, within a specified location or region.
-
E.
hasInstitutionalCharacter
Indicates that something possesses qualities, status, or attributes associated with a formal institution or institutional framework.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69ff2d22ffb48190ae58ddf3c7e02869 |
completed | May 9, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69ff2ac2e1c4819096cc64e94aef2ff0 |
completed | May 9, 2026, 12:38 p.m. |
Created at: April 29, 2026, 9:19 p.m.