Triple
T9406508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chin State |
E226600
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Tedim
Tedim is a town in northwestern Myanmar known as a cultural and administrative center for the Zomi (Chin) people in Chin State.
|
E797238
|
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: Tedim | Statement: [Chin State, hasTown, Tedim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tedim Context triple: [Chin State, hasTown, Tedim]
-
A.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
B.
Teda
Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
-
C.
Todee
Todee is a district-level administrative area located within Montserrado County in Liberia.
-
D.
Tedy
Tedy is the given name of Tedy Bruschi, a former professional American football linebacker best known for his career with the New England Patriots.
-
E.
Timni
Timni is an alternative name for the Temne people, a major ethnic group primarily found in Sierra Leone in West Africa.
- 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: Tedim Triple: [Chin State, hasTown, Tedim]
Generated description
Tedim is a town in northwestern Myanmar known as a cultural and administrative center for the Zomi (Chin) people in Chin State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tedim Target entity description: Tedim is a town in northwestern Myanmar known as a cultural and administrative center for the Zomi (Chin) people in Chin State.
-
A.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
B.
Teda
Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
-
C.
Todee
Todee is a district-level administrative area located within Montserrado County in Liberia.
-
D.
Tedy
Tedy is the given name of Tedy Bruschi, a former professional American football linebacker best known for his career with the New England Patriots.
-
E.
Timni
Timni is an alternative name for the Temne people, a major ethnic group primarily found in Sierra Leone in West Africa.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c3fc988190ac34cc9e09f8ebfc |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1079bd644819081f9c8f25ff1c532 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1082f41b48190b8588bb986028f59 |
completed | April 4, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108bab8c881909748ffbb4b23f4ba |
completed | April 4, 2026, 12:48 p.m. |
Created at: March 30, 2026, 7:47 p.m.