Triple
T13298526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Ma'arri |
E316746
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Luzum ma la yalzam |
E1022012
|
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: Luzum ma la yalzam | Statement: [Al-Ma'arri, notableWork, Luzum ma la yalzam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luzum ma la yalzam Context triple: [Al-Ma'arri, notableWork, Luzum ma la yalzam]
-
A.
Yalamlam
Yalamlam is a mountainous area in western Saudi Arabia that serves as one of the designated entry points (miqats) where pilgrims intending Hajj or Umrah enter the state of ihram.
-
B.
Luzūmiyyāt
chosen
Luzūmiyyāt is a celebrated collection of philosophically charged, linguistically intricate Arabic poems by the 11th-century poet Abū al-ʿAlāʾ al-Maʿarrī, noted for its skepticism and complex rhyme constraints.
-
C.
Zimzallabim
Zimzallabim is a track featured on Mos Def’s 2004 hip hop album "The New Danger."
-
D.
Luz Apagá
"Luz Apagá" is a song by Puerto Rican artist Ozuna from his acclaimed reggaeton and Latin trap album "Odisea."
-
E.
Yazgulyam
Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a2f2708190a8f2aa7e7c0b92d2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716dd0cd88190b0ae81b402fc31cf |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.