Triple
T16259874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karo |
E394725
|
entity |
| Predicate | traditionalReligion |
P45
|
FINISHED |
| Object | Pemena |
E1201694
|
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: Pemena | Statement: [Karo, traditionalReligion, Pemena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pemena Context triple: [Karo, traditionalReligion, Pemena]
-
A.
Pemena
chosen
Pemena is the indigenous traditional belief system of the Karo people of the Karo Highlands in North Sumatra, Indonesia, encompassing their ancestral cosmology, rituals, and spiritual practices.
-
B.
Pemper
Pemper is a surname most notably associated with Mietek Pemper, a Holocaust survivor who helped compile Oskar Schindler’s list.
-
C.
Penneru
Penneru is an alternate name for the Penna River, a major river flowing through the southern Indian states of Andhra Pradesh and Karnataka.
-
D.
Danglas
Danglas is a rural municipality in the province of Abra in the Cordillera region of the Philippines.
-
E.
Sandrich
Sandrich is a surname most notably associated with American film director Mark Sandrich, known for his classic Hollywood musicals.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3082c8190a1c9f92b255fdbb6 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b3b48c8190ad0043d730b1da35 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.