Triple
T19595606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laṅkā Kāṇḍ |
E470339
|
entity |
| Predicate | textualOrder |
P19744
|
FINISHED |
| Object | later kāṇḍ of Ramcharitmanas |
—
|
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: later kāṇḍ of Ramcharitmanas | Statement: [Laṅkā Kāṇḍ, textualOrder, later kāṇḍ of Ramcharitmanas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualOrder Context triple: [Laṅkā Kāṇḍ, textualOrder, later kāṇḍ of Ramcharitmanas]
-
A.
hasTextOrder
chosen
Indicates that there is a specified sequence or ordering of text elements relative to one another.
-
B.
readingOrder
Indicates the sequential order in which items should be read or interpreted.
-
C.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
textualApproach
Indicates an approach or method that is based on or expressed through text or written language.
-
E.
textuallySystematizedBy
Indicates that information, concepts, or data are organized, structured, or codified into a systematic textual form by a particular agent or source.
- 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_69e6407a09608190aa1df92f8c21f9e7 |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.