Triple
T6786853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papuan Tip linkage |
E155828
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Mailu language |
E619313
|
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: Mailu language | Statement: [Papuan Tip linkage, hasLanguage, Mailu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mailu language Context triple: [Papuan Tip linkage, hasLanguage, Mailu language]
-
A.
Mailu language
chosen
The Mailu language is an Oceanic language spoken by the Mailu people of southeastern Papua New Guinea, particularly on Mailu Island and nearby coastal areas.
-
B.
Mon language
Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
-
C.
MAIL
MAIL is the stock ticker symbol for Mail.ru Group, a major Russian internet and online services company.
-
D.
Mailer
Mailer is Symfony’s email-sending component that provides a flexible, secure, and extensible way to create and deliver emails in PHP applications.
-
E.
Mailer
Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28f043081909a9a9ab635785933 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723cc35cc8190b5affdfd363171ba |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:14 p.m.