Triple
T11182562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Kazakhstan |
E264576
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Saran
Saran is an industrial city in central Kazakhstan known for its coal mining and related heavy industries.
|
E910148
|
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: Saran | Statement: [Central Kazakhstan, hasMajorCity, Saran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saran Context triple: [Central Kazakhstan, hasMajorCity, Saran]
-
A.
Saran
Saran is a commune in north-central France located in the Loiret department, near the city of Orléans.
-
B.
Sar
Sar is the family name of Pol Pot, the Cambodian revolutionary leader and dictator who headed the Khmer Rouge regime responsible for the Cambodian genocide.
-
C.
Sarju
Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
-
D.
Sanaig
Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
-
E.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
- 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: Saran Triple: [Central Kazakhstan, hasMajorCity, Saran]
Generated description
Saran is an industrial city in central Kazakhstan known for its coal mining and related heavy industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saran Target entity description: Saran is an industrial city in central Kazakhstan known for its coal mining and related heavy industries.
-
A.
Saran
Saran is a commune in north-central France located in the Loiret department, near the city of Orléans.
-
B.
Sar
Sar is the family name of Pol Pot, the Cambodian revolutionary leader and dictator who headed the Khmer Rouge regime responsible for the Cambodian genocide.
-
C.
Sarju
Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
-
D.
Sanaig
Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
-
E.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a9c5e081908c85b41a268428fb |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483c1b4f88190b7c38b254d37c7fb |
completed | April 19, 2026, 7:26 a.m. |
| NEDg | Description generation | batch_69e48717c35481908fb05597084167e7 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e48875faa88190af33654e6d9a708b |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 8, 2026, 9:29 p.m.