Triple
T9551028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearic languages |
E230420
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Central Chong
Central Chong is a branch of the Pearic languages spoken by indigenous communities in parts of Cambodia and Thailand.
|
E805419
|
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: Central Chong | Statement: [Pearic languages, hasMember, Central Chong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Chong Context triple: [Pearic languages, hasMember, Central Chong]
-
A.
Central Tai
Central Tai is a branch of the Tai language family spoken in parts of Southeast Asia, distinct from but closely related to the Southwestern Tai languages.
-
B.
North Guang
North Guang is a subgroup of the Guang branch of the Niger-Congo language family, comprising several closely related languages spoken primarily in Ghana.
-
C.
Chongxi
Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
-
D.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
E.
Trung Mai
Trung Mai is an entrepreneur best known as a co-founder of the audio technology company Sonos.
- 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: Central Chong Triple: [Pearic languages, hasMember, Central Chong]
Generated description
Central Chong is a branch of the Pearic languages spoken by indigenous communities in parts of Cambodia and Thailand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Central Chong Target entity description: Central Chong is a branch of the Pearic languages spoken by indigenous communities in parts of Cambodia and Thailand.
-
A.
Central Tai
Central Tai is a branch of the Tai language family spoken in parts of Southeast Asia, distinct from but closely related to the Southwestern Tai languages.
-
B.
North Guang
North Guang is a subgroup of the Guang branch of the Niger-Congo language family, comprising several closely related languages spoken primarily in Ghana.
-
C.
Chongxi
Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
-
D.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
E.
Trung Mai
Trung Mai is an entrepreneur best known as a co-founder of the audio technology company Sonos.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd991df7308190a56d95f195627513 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c85b9208190acf98fa985b0f01f |
completed | April 4, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_69d14d0c39c88190a705470104dc7b80 |
completed | April 4, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14d79065081908a4e619c71e0d359 |
completed | April 4, 2026, 5:42 p.m. |
Created at: March 30, 2026, 8:02 p.m.