Triple
T21674775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nūr al-Dīn ʿAbd al-Raḥmān Jāmī |
E534938
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lawāʾiḥ |
—
|
NE NERFINISHED |
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: Lawāʾiḥ | Statement: [Nūr al-Dīn ʿAbd al-Raḥmān Jāmī, notableWork, Lawāʾiḥ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawāʾiḥ Context triple: [Nūr al-Dīn ʿAbd al-Raḥmān Jāmī, notableWork, Lawāʾiḥ]
-
A.
Lawāʾiḥ
chosen
Lawāʾiḥ is a seminal Persian Sufi work by Jami that presents mystical and philosophical reflections on divine love and spiritual reality.
-
B.
Lihaaf
Lihaaf is a groundbreaking Urdu short story by Ismat Chughtai, famous for its bold exploration of female sexuality and its role in sparking major controversy and obscenity trials in South Asian literature.
-
C.
Lawa-an
Lawa-an is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
D.
Lawāmiʿ
Lawāmiʿ is a later Persian Sufi treatise, traditionally attributed to Jāmī, that elaborates on mystical themes also treated in his earlier work Lawāʾiḥ.
-
E.
Lakon
Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0ed5388190b8f1932fb3f11c6a |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:41 p.m.