Triple
T14885099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gälpu |
E350100
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Galpu |
E1093666
|
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: Galpu | Statement: [Gälpu, hasAlternativeName, Galpu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galpu Context triple: [Gälpu, hasAlternativeName, Galpu]
-
A.
Galpu
chosen
Galpu is an Australian Aboriginal Yolŋu language spoken in northeast Arnhem Land, closely related to other Yolŋu Matha varieties.
-
B.
Galga
Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
-
C.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
D.
Horcón
Horcón is a small rural village in Chile’s Elqui Valley, known for its scenic Andean surroundings and traditional agricultural lifestyle.
-
E.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5f4598081908735e8d7dfce8074 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72aedae081909616f4aca3a44c92 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 1:56 a.m.