Triple
T32042602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Council of Educational Research and Training, Tamil Nadu |
E818254
|
entity |
| Predicate | typeOfTextbooks |
P201935
|
FINISHED |
| Object | state board school textbooks |
—
|
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: state board school textbooks | Statement: [State Council of Educational Research and Training, Tamil Nadu, typeOfTextbooks, state board school textbooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTextbooks Context triple: [State Council of Educational Research and Training, Tamil Nadu, typeOfTextbooks, state board school textbooks]
-
A.
notableTextbook
Indicates that a textbook is recognized as significant, influential, or widely used within its field or subject area.
-
B.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
C.
hasTextbookTreatmentIn
Indicates that an entity is covered or discussed in a textbook within a specified context, section, or source.
-
D.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
E.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00372ff0e48190b3ed91f9bae9da6c |
completed | May 10, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_6a00359c1b8481909c1e43df9f5a789a |
completed | May 10, 2026, 7:37 a.m. |
| PDg | Predicate description generation | batch_6a00372f29548190bc5b8f0c0ece3cac |
completed | May 10, 2026, 7:43 a.m. |
Created at: May 1, 2026, 12:19 a.m.