Triple
T23050787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shefa Province |
E574005
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Emae |
—
|
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: Emae | Statement: [Shefa Province, contains, Emae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emae Context triple: [Shefa Province, contains, Emae]
-
A.
Emae
chosen
Emae is an Oceanic language spoken on Emae Island in Vanuatu, closely related to other Central Vanuatu languages.
-
B.
Ema
Ema is a given name used as a variant spelling of Emma in various languages and cultures.
-
C.
Ema
Ema is an Austronesian language spoken primarily in East Timor, also known as the Kemak language.
-
D.
Ena
Ena is the affectionate nickname of Queen Victoria Eugenie of Spain, the British-born consort of King Alfonso XIII and a significant figure in early 20th-century Spanish history.
-
E.
Ena
Ena is a city in central Japan known for its scenic mountainous landscapes and traditional rural charm within Gifu Prefecture.
- 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.