Triple
T5385448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masnavi |
E120190
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mathnawi |
E120191
|
NE 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: Mathnawi | Statement: [Masnavi, alsoKnownAs, Mathnawi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathnawi Context triple: [Masnavi, alsoKnownAs, Mathnawi]
-
A.
Mathnawi
chosen
Mathnawi is a monumental six-volume Persian Sufi poetic work by Rumi that explores mystical love, spiritual wisdom, and the path to divine union.
-
B.
Arithmoi
Arithmoi is the Greek title of the biblical Book of Numbers, the fourth book of the Hebrew Bible and the Christian Old Testament.
-
C.
Mathis
Mathis is a supporting character in Ian Fleming's James Bond series, notably appearing as an ally in the novel "Casino Royale."
-
D.
Matemale
Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
-
E.
Nimaathap
Nimaathap was an ancient Egyptian queen of the late 2nd Dynasty, likely a royal consort and mother of early 3rd Dynasty kings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd86f5a7388190aa4ba2052afca74e |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf295352988190a48d3f9db56fcaf8 |
completed | March 21, 2026, 11:27 p.m. |
Created at: March 20, 2026, 2:03 p.m.