Triple
T15626559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Services Group |
E375693
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object |
Cherat
Cherat is a military town in Pakistan known for hosting key special operations and commando training facilities.
|
E1168787
|
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: Cherat | Statement: [Special Services Group, garrison, Cherat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherat Context triple: [Special Services Group, garrison, Cherat]
-
A.
Chtaura
Chtaura is a commercial and transportation hub town in Lebanon, strategically located on the main route between Beirut and Damascus in the Beqaa Valley.
-
B.
Churahi
Churahi is an Indo-Aryan language variety spoken in the Chamba region of Himachal Pradesh, India, and is considered part of the Western Pahari group.
-
C.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
D.
Chitrali
Chitrali is an alternative name for Khowar, an Indo-Aryan language spoken primarily in Pakistan’s Chitral region.
-
E.
Chetlat
Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
- 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: Cherat Triple: [Special Services Group, garrison, Cherat]
Generated description
Cherat is a military town in Pakistan known for hosting key special operations and commando training facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherat Target entity description: Cherat is a military town in Pakistan known for hosting key special operations and commando training facilities.
-
A.
Chtaura
Chtaura is a commercial and transportation hub town in Lebanon, strategically located on the main route between Beirut and Damascus in the Beqaa Valley.
-
B.
Churahi
Churahi is an Indo-Aryan language variety spoken in the Chamba region of Himachal Pradesh, India, and is considered part of the Western Pahari group.
-
C.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
D.
Chitrali
Chitrali is an alternative name for Khowar, an Indo-Aryan language spoken primarily in Pakistan’s Chitral region.
-
E.
Chetlat
Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f415c2c81909e232e1c6531da93 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff5fea7cb48190a1acb9201a12fa32 |
completed | May 9, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff62e84bec81908a4885bf7f8f3749 |
completed | May 9, 2026, 4:38 p.m. |
Created at: April 10, 2026, 4:14 a.m.