Triple
T7302511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khasi people |
E167891
|
entity |
| Predicate | youngestDaughterRole |
P19639
|
FINISHED |
| Object | custodian of ancestral property |
—
|
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: custodian of ancestral property | Statement: [Khasi people, youngestDaughterRole, custodian of ancestral property]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngestDaughterRole Context triple: [Khasi people, youngestDaughterRole, custodian of ancestral property]
-
A.
daughterOf
Indicates that one person is the female child (daughter) of another person.
-
B.
onlyDaughterOf
Indicates that the subject is the one and only female child (daughter) of the specified parent or parents.
-
C.
isYoungestOf
chosen
Indicates that the subject is the youngest member within the specified group or set of related entities.
-
D.
isEldestSisterOf
Indicates that one person is the oldest female sibling in relation to another person.
-
E.
youngerVersionPortrayedBy
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.