Triple
T11114632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yulu language |
E262852
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Yulu |
E905167
|
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: Yulu | Statement: [Yulu language, hasGlottologName, Yulu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yulu Context triple: [Yulu language, hasGlottologName, Yulu]
-
A.
Yulu
chosen
Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
-
B.
Yunak
Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
-
C.
Luilang
Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
-
D.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
-
E.
Lakitu
Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa637888190935e852281408356 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441cb16bc81908b5321506f655e38 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:27 p.m.