Triple
T15269444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawoyn |
E364981
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Jawonj |
E364981
|
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: Jawonj | Statement: [Jawoyn, hasAlternativeName, Jawonj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jawonj Context triple: [Jawoyn, hasAlternativeName, Jawonj]
-
A.
Jawali
Jawali is a small town in the Kangra district of Himachal Pradesh, India, known for its proximity to the Maharana Pratap Sagar (Pong Dam) reservoir and its surrounding natural scenery.
-
B.
Jawz
Jawz is the jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
-
C.
Jawanda
Jawanda is an Indian-origin surname commonly found among Punjabi communities, particularly within the Sikh population.
-
D.
Jawoldo
Jawoldo is an island within Ongjin County in South Korea, known for its coastal scenery and fishing activities.
-
E.
Jawoyn
chosen
Jawoyn is an Aboriginal Australian people and their associated language from the Northern Territory, particularly around the Katherine region.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094eac848190a1740ae1aa6b28e0 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee602067c81908b1aaaca8871eeb9 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.