Triple
T1296387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umrah |
E27661
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Marwa |
E148503
|
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: Marwa | Statement: [Umrah, associatedWith, Marwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marwa Context triple: [Umrah, associatedWith, Marwa]
-
A.
Marwa
chosen
Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
-
B.
Jahra
Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
-
C.
Barquq
Barquq was a prominent 14th-century Mamluk sultan of Egypt who founded the Burji (Circassian) Mamluk dynasty and played a key role in reshaping the political landscape of the late medieval Islamic world.
-
D.
Nabawiyya
Nabawiyya is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," known primarily as the unfaithful wife whose betrayal deeply impacts the protagonist, Said Mahran.
-
E.
Jowhar
Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0f591ec819084f01f518c332880 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd4729af08190a6de5388dab69fee |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:51 p.m.