Triple
T8710096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maay |
E206751
|
entity |
| Predicate | exonym |
P4705
|
FINISHED |
| Object | Maay Maay |
E753671
|
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: Maay Maay | Statement: [Maay, exonym, Maay Maay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maay Maay Context triple: [Maay, exonym, Maay Maay]
-
A.
Maay Maay
chosen
Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
-
B.
Maayon
Maayon is a rural municipality in the province of Capiz in the Philippines, known for its agricultural landscape and small-town community.
-
C.
Cocom Maya
The Cocom Maya were a powerful Maya dynasty and polity in the Yucatán Peninsula, known for ruling from the city of Mayapán and resisting Spanish conquest in the 16th century.
-
D.
Limal
Limal is a residential district and former village within the city of Wavre in Walloon Brabant, Belgium.
-
E.
Mahal
Mahal is a landmark 1949 Indian Hindi-language psychological horror film, celebrated for pioneering the Bollywood gothic romance genre and launching Madhubala to stardom.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c3034708190b895eaf890d62198 |
completed | March 31, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4290a25c81908f62e91b6d363419 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:35 p.m.