Triple
T10344205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maragheh |
E243700
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Safi River
The Safi River is a watercourse in northwestern Iran that flows through the city of Maragheh in East Azerbaijan Province.
|
E896413
|
NE FINISHED |
How this triple was built (4 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: Safi River | Statement: [Maragheh, locatedOn, Safi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safi River Context triple: [Maragheh, locatedOn, Safi River]
-
A.
Safi River
The Safi River is a significant tributary watercourse that feeds into eastern India’s Damodar River system.
-
B.
Khari River
The Khari River is a minor river in western India that serves as a tributary of the Sabarmati River, contributing to the regional drainage and irrigation system.
-
C.
Abasha River
The Abasha River is a waterway in western Georgia that flows through the Samegrelo-Zemo Svaneti region before joining the Rioni River.
-
D.
Gilgil River
Gilgil River is a freshwater river in Kenya’s Rift Valley that feeds into Lake Naivasha and supports surrounding agricultural and wildlife ecosystems.
-
E.
Sumène River
The Sumène River is a watercourse in south-central France that originates in the Cantal Mountains and flows through the Auvergne region before joining larger river systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Safi River Triple: [Maragheh, locatedOn, Safi River]
Generated description
The Safi River is a watercourse in northwestern Iran that flows through the city of Maragheh in East Azerbaijan Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Safi River Target entity description: The Safi River is a watercourse in northwestern Iran that flows through the city of Maragheh in East Azerbaijan Province.
-
A.
Safi River
The Safi River is a significant tributary watercourse that feeds into eastern India’s Damodar River system.
-
B.
Khari River
The Khari River is a minor river in western India that serves as a tributary of the Sabarmati River, contributing to the regional drainage and irrigation system.
-
C.
Abasha River
The Abasha River is a waterway in western Georgia that flows through the Samegrelo-Zemo Svaneti region before joining the Rioni River.
-
D.
Gilgil River
Gilgil River is a freshwater river in Kenya’s Rift Valley that feeds into Lake Naivasha and supports surrounding agricultural and wildlife ecosystems.
-
E.
Sumène River
The Sumène River is a watercourse in south-central France that originates in the Cantal Mountains and flows through the Auvergne region before joining larger river systems.
- F. None of above. chosen
Provenance (5 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9228cd88190bcd94b85537233c1 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d65fc0948190af4356fc9f5004bb |
completed | April 18, 2026, 12:54 a.m. |
| NEDg | Description generation | batch_69e2ff1ddd2c8190b31f5007f7492a4e |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3260494bc81909e3dd4829697fb72 |
completed | April 18, 2026, 6:34 a.m. |
Created at: April 6, 2026, 11:55 a.m.