Triple
T7307476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnibeena |
E168009
|
entity |
| Predicate | containsPoem |
P21160
|
FINISHED |
| Object | Qurbani |
E214757
|
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: Qurbani | Statement: [Agnibeena, containsPoem, Qurbani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qurbani Context triple: [Agnibeena, containsPoem, Qurbani]
-
A.
Id al-Adha
chosen
Id al-Adha is an important Islamic festival commemorating Prophet Ibrahim’s willingness to sacrifice his son, marked by special prayers, charity, and the ritual sacrifice of an animal.
-
B.
Sherawali
Sherawali is a revered Hindu goddess form of Durga, worshipped especially in North India as the lion-riding mother deity who destroys evil and protects her devotees.
-
C.
Fida'i
Fida'i is the national anthem of the State of Palestine, expressing Palestinian identity, struggle, and aspirations for freedom and self-determination.
-
D.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
E.
Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebd95bd48190865716e7565f45e6 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e56443b08190aee2c26633cdcbed |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.