Triple
T23472112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaytagsky District |
E570156
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object |
Madzhalis
Madzhalis is a rural locality in the Republic of Dagestan, Russia, serving as a local administrative hub within the region.
|
E1589596
|
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: Madzhalis | Statement: [Kaytagsky District, administrativeCenter, Madzhalis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madzhalis Context triple: [Kaytagsky District, administrativeCenter, Madzhalis]
-
A.
Mawlaik
Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
-
B.
Muladis
Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
-
C.
Minzaal
Minzaal is a high-class British sprinter racehorse best known for his Group 1-winning exploits over six furlongs.
-
D.
Mashaal
Mashaal is a 1984 Hindi drama film best known for its powerful performances, including a memorable role by veteran actor Amrish Puri.
-
E.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
- 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: Madzhalis Triple: [Kaytagsky District, administrativeCenter, Madzhalis]
Generated description
Madzhalis is a rural locality in the Republic of Dagestan, Russia, serving as a local administrative hub within the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madzhalis Target entity description: Madzhalis is a rural locality in the Republic of Dagestan, Russia, serving as a local administrative hub within the region.
-
A.
Mawlaik
Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
-
B.
Muladis
Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
-
C.
Minzaal
Minzaal is a high-class British sprinter racehorse best known for his Group 1-winning exploits over six furlongs.
-
D.
Mashaal
Mashaal is a 1984 Hindi drama film best known for its powerful performances, including a memorable role by veteran actor Amrish Puri.
-
E.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a700bd0481908047aa4678217cbd |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c825dcbdc819090002d36ef823a2f |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6efb0d88190bf15b18cc3f12482 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca80db6288190ae99313c1f2485db |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:55 p.m.