Triple
T13408511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuz Khurmatu |
E320021
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tuz
Tuz is a town in northern Iraq, also known as Tuz Khurmatu, located in the Saladin Governorate and noted for its ethnically diverse population.
|
E1047437
|
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: Tuz | Statement: [Tuz Khurmatu, hasAlternativeName, Tuz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuz Context triple: [Tuz Khurmatu, hasAlternativeName, Tuz]
-
A.
Teba
Teba is a town in the province of Málaga, Spain, historically notable as the site of a major medieval battle during the Reconquista.
-
B.
Tchaman
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
-
C.
Salar
Salar is a Turkic ethnic group primarily residing in northwestern China, known for speaking the Salar language and practicing Islam.
-
D.
Tawilis
Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
-
E.
Turubah
Turubah is a town in western Saudi Arabia situated inland within the Makkah Province, known for its agricultural surroundings and desert landscape.
- 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: Tuz Triple: [Tuz Khurmatu, hasAlternativeName, Tuz]
Generated description
Tuz is a town in northern Iraq, also known as Tuz Khurmatu, located in the Saladin Governorate and noted for its ethnically diverse population.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuz Target entity description: Tuz is a town in northern Iraq, also known as Tuz Khurmatu, located in the Saladin Governorate and noted for its ethnically diverse population.
-
A.
Teba
Teba is a town in the province of Málaga, Spain, historically notable as the site of a major medieval battle during the Reconquista.
-
B.
Tchaman
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
-
C.
Salar
Salar is a Turkic ethnic group primarily residing in northwestern China, known for speaking the Salar language and practicing Islam.
-
D.
Tawilis
Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
-
E.
Turubah
Turubah is a town in western Saudi Arabia situated inland within the Makkah Province, known for its agricultural surroundings and desert landscape.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4d2c5481908facfaaa1501e344 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d86d32c8190a1d9ce72e99426e2 |
completed | May 3, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69f75fbb39848190beeae0e4c112510d |
completed | May 3, 2026, 2:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f76049056c8190b77f8ca78c8f77a0 |
completed | May 3, 2026, 2:48 p.m. |
Created at: April 9, 2026, 9:35 p.m.