Triple
T23050797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shefa Province |
E574005
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Emao |
—
|
NE NERFINISHED |
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: Emao | Statement: [Shefa Province, contains, Emao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emao Context triple: [Shefa Province, contains, Emao]
-
A.
Eimeo
Eimeo is a coastal locality in Queensland, Australia, known for its scenic beachfront and relaxed seaside community.
-
B.
Ehoiai
Ehoiai is an alternative title for the ancient Greek Hesiodic Catalogue of Women, a fragmentary epic poem that recounts the genealogies and heroic myths of legendary women.
-
C.
Emae
chosen
Emae is an Oceanic language spoken on Emae Island in Vanuatu, closely related to other Central Vanuatu languages.
-
D.
Moema
Moema is an upscale residential and commercial neighborhood in São Paulo, Brazil, known for its proximity to Ibirapuera Park, vibrant nightlife, and diverse dining options.
-
E.
Amuesha
Amuesha is another name for the Yaneshaʼ language, an Arawakan language spoken by the Yaneshaʼ (Amuesha) people of central Peru.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.