Triple
T19594457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Ayodhya |
E470314
|
entity |
| Predicate | relationshipToBharata |
P38921
|
FINISHED |
| Object | biological mother |
—
|
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: biological mother | Statement: [Queen of Ayodhya, relationshipToBharata, biological mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToBharata Context triple: [Queen of Ayodhya, relationshipToBharata, biological mother]
-
A.
relationshipToKauravas
Indicates the type or nature of a person's familial or social relationship to the Kauravas.
-
B.
relationToJanaGanaMana
Indicates a relationship or association that something has with the Indian national anthem "Jana Gana Mana," such as being about it, derived from it, or otherwise connected to it.
-
C.
relationshipToRashi
Indicates the specific familial, social, or relational connection that one entity has to Rashi.
-
D.
relationshipToCharacter
chosen
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
E.
relationToRabindranathTagore
Indicates a specified type of relationship or association that an entity has with Rabindranath Tagore.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640793cd88190b9b84491bfb2493f |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.