Triple
T12873345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tarmida |
E307902
|
entity |
| Predicate | associatedWithText |
P8272
|
FINISHED |
| Object | Qolasta |
E466793
|
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: Qolasta | Statement: [tarmida, associatedWithText, Qolasta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qolasta Context triple: [tarmida, associatedWithText, Qolasta]
-
A.
Qolasta
chosen
Qolasta is the primary Mandaean liturgical collection of prayers and hymns used in their religious rituals and ceremonies.
-
B.
Qolşärif
Qolşärif was a prominent Tatar religious leader and imam of Kazan who became a national hero for his role in defending the Kazan Khanate against Ivan the Terrible in the 16th century.
-
C.
Qanjobal
Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
-
D.
Jalalaqsi
Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
-
E.
Qilwah
Qilwah is a town located in the Al Bahah Region of southwestern Saudi Arabia, known for its mountainous terrain and traditional rural character.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970f87aa48190a7234424a6badef0 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb679f88190a1799b73c3f738b6 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.