Triple
T21170689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orion correlation theory |
E521682
|
entity |
| Predicate | associatesStars |
P140144
|
FINISHED |
| Object | Mintaka |
—
|
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: Mintaka | Statement: [Orion correlation theory, associatesStars, Mintaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mintaka Context triple: [Orion correlation theory, associatesStars, Mintaka]
-
A.
Mintaka
chosen
Mintaka is a bright multiple star system in the constellation Orion, forming one of the three prominent stars of Orion’s Belt.
-
B.
Karume
Karume is a Swahili surname most prominently associated with Abeid Karume, the first president of Zanzibar and a key figure in Tanzanian political history.
-
C.
Oshikango
Oshikango is a border town in northern Namibia that serves as a key commercial and transport hub between Namibia and Angola.
-
D.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
E.
Lomanikoro
Lomanikoro is a village located on Kadavu Island in Fiji.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72712893081908e394ccc7e0cbb53 |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.