Triple
T26001991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kech District |
E646653
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object |
District Administration Kech
District Administration Kech is the local governmental authority responsible for managing public services, development, and administrative affairs in Kech District, Pakistan.
|
E646653
|
NE FINISHED |
How this triple was built (2 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: District Administration Kech | Statement: [Kech District, governingBody, District Administration Kech]
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: District Administration Kech Triple: [Kech District, governingBody, District Administration Kech]
Generated description
District Administration Kech is the local governmental authority responsible for managing public services, development, and administrative affairs in Kech District, Pakistan.
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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605770b2481908c1674952889f62f |
completed | May 2, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11079c6f1c8190bc9fa14349bdf6fe |
completed | May 23, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_6a1109ba733c819086558e6543a6fed7 |
completed | May 23, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a110a5886208190832eaf3b9986fa76 |
completed | May 23, 2026, 2 a.m. |
Created at: April 22, 2026, 9 a.m.