Triple
T38123125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabard Inn, Southwark |
E951994
|
entity |
| Predicate | languageOfWorkDescribingIt |
—
|
GENERATED |
| Object | Middle English |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfWorkDescribingIt Context triple: [Tabard Inn, Southwark, languageOfWorkDescribingIt, Middle English]
-
A.
languageOfSelfDescription
Indicates the language in which an entity describes itself (e.g., in its self-presentation, profile, or official self-authored text).
-
B.
languageOfExpression
chosen
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
C.
languageOfOriginalDescription
Indicates that something is expressed or documented in its initial or source language version.
-
D.
languageSpecifies
Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
-
E.
languageLabel
Indicates the human-readable name or label of a language associated with an entity or resource.
- F. None of above.
Provenance (1 batch)
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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.