Triple
T9460040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karun River |
E228120
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Shushtar |
E573404
|
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: Shushtar | Statement: [Karun River, flowsNear, Shushtar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shushtar Context triple: [Karun River, flowsNear, Shushtar]
-
A.
Shushtar
chosen
Shushtar is a historic city in southwestern Iran, renowned for its ancient hydraulic system and rich cultural heritage.
-
B.
Rising Park
Rising Park is a popular public park in Lancaster, Ohio, known for its scenic trails, playgrounds, and panoramic views from Mount Pleasant.
-
C.
Beaver Falls
Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
-
D.
Beaver Falls
Beaver Falls is a series of striking turquoise-blue waterfalls and pools along Havasu Creek in the Grand Canyon, renowned for their scenic beauty and popularity among hikers visiting Havasupai lands.
-
E.
Mattersburg
Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcaf610819092bcd3b871665aa5 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122965aa48190bb35202b8dd0fdbd |
completed | April 4, 2026, 2:39 p.m. |
Created at: March 30, 2026, 7:52 p.m.