Triple
T11322699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haji Ali |
E268131
|
entity |
| Predicate | offTheCoastOf |
P15643
|
FINISHED |
| Object | Mahalaxmi |
E269509
|
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: Mahalaxmi | Statement: [Haji Ali, offTheCoastOf, Mahalaxmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahalaxmi Context triple: [Haji Ali, offTheCoastOf, Mahalaxmi]
-
A.
Mahalaxmi
chosen
Mahalaxmi is a coastal neighborhood in South Mumbai, India, known for its seafront location, racecourse, and proximity to prominent religious landmarks.
-
B.
Kamakshi
Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
-
C.
Māyādevī
Māyādevī is revered in Buddhist tradition as the queen and mother of Siddhartha Gautama, who became the Buddha.
-
D.
Mallishwari
Mallishwari is a 2004 Telugu romantic comedy film starring Venkatesh and Katrina Kaif, noted for its entertaining blend of humor, romance, and music.
-
E.
Tribhuwaneswari
Tribhuwaneswari was a Javanese royal consort known as the wife of Raden Wijaya, the founder and first king of the Majapahit Empire.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525ed950081908ec94cfbf8849e85 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.