Triple
T20005928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child of Deaf Adults |
E494460
|
entity |
| Predicate | KODAExplanation |
P138331
|
FINISHED |
| Object | KODA often refers to a Child of Deaf Adults who is under 18 |
—
|
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: KODA often refers to a Child of Deaf Adults who is under 18 | Statement: [Child of Deaf Adults, KODAExplanation, KODA often refers to a Child of Deaf Adults who is under 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KODAExplanation Context triple: [Child of Deaf Adults, KODAExplanation, KODA often refers to a Child of Deaf Adults who is under 18]
-
A.
kāṇḍa
Indicates a part–whole relationship where something is a section, chapter, or subdivision of a larger structured whole.
-
B.
servesCodename
Indicates that one entity provides or uses another entity under a specific codename or alias.
-
C.
codenameContext
Indicates that an entity is associated with or used as a codename within a particular contextual scope or situation.
-
D.
koraDuration
Indicates the length of time for which the kora activity or event takes place.
-
E.
kokudaka
Indicates a relationship where a landholding or domain is assigned a value based on its assessed agricultural productivity or tax yield, typically measured in koku.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a57ef881909115c8aa232b1012 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:33 p.m.