Triple
T21202738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajj Aakhaan Waris Shah Nu |
E522497
|
entity |
| Predicate | firstLineMeaning |
P16916
|
FINISHED |
| Object | Today I call out to Waris Shah |
—
|
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: Today I call out to Waris Shah | Statement: [Ajj Aakhaan Waris Shah Nu, firstLineMeaning, Today I call out to Waris Shah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineMeaning Context triple: [Ajj Aakhaan Waris Shah Nu, firstLineMeaning, Today I call out to Waris Shah]
-
A.
firstLineTranslation
chosen
Indicates that one text is a translation of the first line of another text.
-
B.
firstLineMention
Indicates that the entity is mentioned in the first line of the associated text or document.
-
C.
firstLineAfrikaans
Indicates that the specified text is the first line of a piece of content when written in Afrikaans.
-
D.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
-
E.
firstLineForm
Indicates that one entity is the initial or primary line-based representation or form of another entity.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73432a2b88190a89e636626d40c9b |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:19 p.m.