Triple
T7358709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyer |
E169690
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Merak |
E405619
|
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: Merak | Statement: [Anyer, near, Merak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merak Context triple: [Anyer, near, Merak]
-
A.
Merak
chosen
Merak is a major port town in western Java, Indonesia, serving as a key ferry gateway between Java and Sumatra.
-
B.
Saas-Almagell
Saas-Almagell is a small alpine village and ski resort in the Swiss canton of Valais, known for its scenic mountain landscapes and outdoor recreation.
-
C.
Udir
Udir is the commonly used abbreviation for the Norwegian Directorate for Education and Training, the national authority responsible for implementing and overseeing Norway’s education policy.
-
D.
Aludra
Aludra is a bright blue supergiant star in the constellation Canis Major, known for its high luminosity and relatively short remaining lifespan.
-
E.
Yıldız
Yıldız is a Turkish feminine given name meaning "star," commonly used in Turkey and among Turkish-speaking communities.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13db3488190ad35725c4fc60ffe |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faaa8ec8819093bf6b4562472288 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:06 p.m.