Triple
T13661794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambedkar Nagar district |
E327014
|
entity |
| Predicate | hasLiteracyConcern |
P111042
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ambedkar Nagar district, hasLiteracyConcern, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiteracyConcern Context triple: [Ambedkar Nagar district, hasLiteracyConcern, true]
-
A.
literacyStatus
Indicates whether an entity possesses the ability to read and write, or its level of literacy.
-
B.
hasDyslexia
Indicates that an entity experiences dyslexia, a learning difficulty affecting reading, writing, or spelling abilities.
-
C.
literacyTestRequirement
Indicates that an entity is subject to, or must satisfy, a literacy test as a condition for participation in a specified activity or obtaining a particular status.
-
D.
literacyRequirementAdministeredBy
Indicates that the administration or enforcement of a literacy requirement is carried out by a specified agent or authority.
-
E.
learnsToRead
Indicates that an entity is in the process of acquiring the ability or skill to read.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:52 p.m.