Triple
T9051697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearic |
E216898
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Somray
Somray is a Pearic-speaking ethnic group indigenous to parts of mainland Southeast Asia, particularly in Cambodia.
|
E775509
|
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: Somray | Statement: [Pearic, hasMember, Somray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somray Context triple: [Pearic, hasMember, Somray]
-
A.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
B.
Borama
Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
-
C.
Barshaini
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
-
D.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
-
E.
Suhma
Suhma is an ancient region or kingdom of eastern India, often mentioned in early Indian historical and mythological sources alongside neighboring areas like Vanga.
- 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: Somray Triple: [Pearic, hasMember, Somray]
Generated description
Somray is a Pearic-speaking ethnic group indigenous to parts of mainland Southeast Asia, particularly in Cambodia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Somray Target entity description: Somray is a Pearic-speaking ethnic group indigenous to parts of mainland Southeast Asia, particularly in Cambodia.
-
A.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
B.
Borama
Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
-
C.
Barshaini
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
-
D.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
-
E.
Suhma
Suhma is an ancient region or kingdom of eastern India, often mentioned in early Indian historical and mythological sources alongside neighboring areas like Vanga.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a700de48190aa9f61d850e01cbd |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc90bf88190bbcdab07ca93f569 |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfecf7fce08190a9b80044a2ae9745 |
completed | April 3, 2026, 4:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cff0ea8c388190bd95233db9c69038 |
completed | April 3, 2026, 4:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.