Triple
T27963633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arogya Niketan |
E704654
|
entity |
| Predicate | hasContrastingCharacterType |
P199927
|
FINISHED |
| Object | Western-trained doctor |
—
|
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: Western-trained doctor | Statement: [Arogya Niketan, hasContrastingCharacterType, Western-trained doctor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContrastingCharacterType Context triple: [Arogya Niketan, hasContrastingCharacterType, Western-trained doctor]
-
A.
hasContrastType
Indicates that one entity is associated with a specific type or category of contrast used to distinguish it from others.
-
B.
hasTypicalCharacterType
Indicates that an entity is commonly associated with or exemplified by a particular type of character or persona.
-
C.
hasDistinctCharacterSet
Indicates that two compared items use different sets of characters, with no character set being a subset or duplicate of the other.
-
D.
hasMainContrast
Indicates a primary opposing or differing relationship between two elements, highlighting the main point of contrast between them.
-
E.
hasVisualCharacter
Indicates that one entity possesses or exhibits a particular visual appearance, style, or graphical characteristic defined by 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69ff64b957bc81908afbc5914234a8ea |
completed | May 9, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69ff6446593c81909173e296eea2590c |
completed | May 9, 2026, 4:43 p.m. |
| PDg | Predicate description generation | batch_69ff64b864f481909fcefc2b08595c89 |
completed | May 9, 2026, 4:45 p.m. |
Created at: April 27, 2026, 7:33 p.m.