Triple
T13266530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kachin State |
E315938
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tanai
Tanai is a town in northern Myanmar known for its location in Kachin State and its surrounding jade and amber mining areas.
|
E1036903
|
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: Tanai | Statement: [Kachin State, contains, Tanai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanai Context triple: [Kachin State, contains, Tanai]
-
A.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
-
C.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
D.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
E.
Tamahaq
Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
- 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: Tanai Triple: [Kachin State, contains, Tanai]
Generated description
Tanai is a town in northern Myanmar known for its location in Kachin State and its surrounding jade and amber mining areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanai Target entity description: Tanai is a town in northern Myanmar known for its location in Kachin State and its surrounding jade and amber mining areas.
-
A.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
-
C.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
D.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
-
E.
Tamahaq
Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901e44bc8190966f87ae219d6bf4 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266665488190a4e2e411bafada85 |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f727de9bf08190a24182c3c2a12f8a |
completed | May 3, 2026, 10:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72884f5548190895608f9fcadf295 |
completed | May 3, 2026, 10:50 a.m. |
Created at: April 9, 2026, 9:25 p.m.