Triple
T34504772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bettiah railway station |
E885850
|
entity |
| Predicate | hasSignageInLanguage |
P25263
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Bettiah railway station, hasSignageInLanguage, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignageInLanguage Context triple: [Bettiah railway station, hasSignageInLanguage, Hindi]
-
A.
hasEnglishSignage
Indicates that the subject features signs or written information presented in the English language.
-
B.
hasSignageIn
Indicates that appropriate signs or signage for an entity are present or installed within a specified location or area.
-
C.
officialLanguageOfSignage
chosen
Indicates that a particular language is the one officially used on public signs and signage within a given place or context.
-
D.
hasSignage
Indicates that appropriate signs or visual markers are present to convey information, directions, warnings, or identification related to the associated entity.
-
E.
hasSignageName
Indicates that an entity has a specific name or label as it appears on its physical signage.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 1, 2026, 2:01 a.m.