Triple
T11135444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fars Province |
E263396
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Zarqan
Zarqan is a small city in southern Iran located within Fars Province, known for its agricultural surroundings and proximity to the regional capital Shiraz.
|
E908002
|
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: Zarqan | Statement: [Fars Province, containsCity, Zarqan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zarqan Context triple: [Fars Province, containsCity, Zarqan]
-
A.
Khardaha
Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
-
B.
Zaqar
Zaqar is OpenStack’s multi-tenant messaging and notification service that provides queuing and publish-subscribe capabilities for cloud applications.
-
C.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
D.
Khar
Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
-
E.
Shastan
Shastan is a Native American language (or group of closely related languages) historically spoken by the Shasta people of northern California and southern Oregon.
- 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: Zarqan Triple: [Fars Province, containsCity, Zarqan]
Generated description
Zarqan is a small city in southern Iran located within Fars Province, known for its agricultural surroundings and proximity to the regional capital Shiraz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zarqan Target entity description: Zarqan is a small city in southern Iran located within Fars Province, known for its agricultural surroundings and proximity to the regional capital Shiraz.
-
A.
Khardaha
Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
-
B.
Zaqar
Zaqar is OpenStack’s multi-tenant messaging and notification service that provides queuing and publish-subscribe capabilities for cloud applications.
-
C.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
D.
Khar
Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
-
E.
Shastan
Shastan is a Native American language (or group of closely related languages) historically spoken by the Shasta people of northern California and southern Oregon.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441fa286881909a8279a8ea6944e7 |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.