Triple
T11785207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panamik |
E280252
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sumur |
E280251
|
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: Sumur | Statement: [Panamik, locatedNear, Sumur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumur Context triple: [Panamik, locatedNear, Sumur]
-
A.
Sumur
chosen
Sumur is a small village in the Nubra Valley of Ladakh, India, known for its scenic Himalayan landscape, Buddhist monastery, and traditional rural life.
-
B.
Banias Spring
Banias Spring is a major natural spring in the Golan Heights that forms one of the primary headwaters of the Jordan River and is noted for its historical and archaeological significance.
-
C.
Mudug
Mudug is a central Somali region known for its arid landscape, pastoralist communities, and strategic position linking northern and southern Somalia.
-
D.
Noor
Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
-
E.
Noor
Noor is a science fiction novel by Nnedi Okorafor that blends Africanfuturism with themes of identity, technology, and survival in a near-future Nigeria.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a585795c8190aa8a5edf0d99b47f |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f130e5a21881909b59e39cd96ec676 |
completed | April 28, 2026, 10:12 p.m. |
Created at: April 8, 2026, 9:42 p.m.