Triple
T9460026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karun River |
E228120
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Khorramshahr |
E117750
|
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: Khorramshahr | Statement: [Karun River, passesThrough, Khorramshahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khorramshahr Context triple: [Karun River, passesThrough, Khorramshahr]
-
A.
Khorramshahr
chosen
Khorramshahr is a strategic port city in southwestern Iran on the Shatt al-Arab waterway, historically significant for its role in World War II logistics and the Iran–Iraq War.
-
B.
Zahedan
Zahedan is a major city in southeastern Iran and the capital of Sistan and Baluchestan Province, near the borders with Pakistan and Afghanistan.
-
C.
Babolsar
Babolsar is a coastal city on the Caspian Sea in northern Iran, known as a regional tourist destination with beaches, a riverfront, and a popular seaside promenade.
-
D.
Mahshahr
Mahshahr is a port and industrial city in southwestern Iran known for its petrochemical facilities and access to the Persian Gulf.
-
E.
Sardasht
Sardasht is a Kurdish-populated city in Iran’s West Azerbaijan province, historically known for being one of the first civilian targets of large-scale chemical weapons attacks during the Iran–Iraq War.
- 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_69d99859b5cc81908475fde408802607 |
completed | April 11, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:52 p.m.