Triple
T31463045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaghnobi people |
E802654
|
entity |
| Predicate | resettlementDestination |
P108929
|
FINISHED |
| Object |
Zafarabad District
Zafarabad District is an administrative district in Tajikistan known for being a major resettlement area for the Yaghnobi people.
|
E1969914
|
NE FINISHED |
How this triple was built (3 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: Zafarabad District | Statement: [Yaghnobi people, resettlementDestination, Zafarabad District]
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: Zafarabad District Triple: [Yaghnobi people, resettlementDestination, Zafarabad District]
Generated description
Zafarabad District is an administrative district in Tajikistan known for being a major resettlement area for the Yaghnobi people.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resettlementDestination Context triple: [Yaghnobi people, resettlementDestination, Zafarabad District]
-
A.
resettledBy
Indicates that an entity has been moved or established anew in a location or context by another agent or authority.
-
B.
resettlementStatus
Indicates the current stage or condition of an entity’s relocation or re-establishment process in a new place.
-
C.
resettledAt
chosen
Indicates that an entity has moved and established residence or presence at a new location.
-
D.
purposeOfResettlement
Indicates that one entity’s purpose, goal, or intended outcome is the reason or motivation for another entity’s act of resettling or being resettled.
-
E.
majorResettlementArea
Indicates that a location serves as a primary or significant destination area where people are being resettled.
- F. None of above.
Provenance (6 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b5623a5b081909ce4be9db54661fc |
completed | June 12, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_6a2b57c1aa048190a551f718ca8c597a |
completed | June 12, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b711543e08190951560751685fe81 |
completed | June 12, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 9:21 p.m.