Triple
T15626495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Army |
E375691
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
I Corps
I Corps is a major field formation of the Pakistan Army responsible for conducting large-scale offensive and defensive operations.
|
E1177699
|
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: I Corps | Statement: [Pakistan Army, hasUnit, I Corps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Corps Context triple: [Pakistan Army, hasUnit, I Corps]
-
A.
I Corps
I Corps is a major U.S. Army corps-level headquarters responsible for commanding and coordinating large-scale land operations, with a primary focus on the Indo-Pacific region.
-
B.
I Corps
I Corps is a major field corps-level formation of the Republic of Korea Army responsible for operational command and control of multiple divisions.
-
C.
I Corps
I Corps was a major French military formation of the Armée du Nord, notably active during the Napoleonic Wars.
-
D.
I Corps
I Corps was a major British Army field formation that played key roles in both World Wars, particularly in early operations in France and Belgium.
-
E.
I Corps
I Corps was a major field formation of the Ottoman Army that played a significant role in the empire’s military operations during the First World War.
- 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: I Corps Triple: [Pakistan Army, hasUnit, I Corps]
Generated description
I Corps is a major field formation of the Pakistan Army responsible for conducting large-scale offensive and defensive operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Corps Target entity description: I Corps is a major field formation of the Pakistan Army responsible for conducting large-scale offensive and defensive operations.
-
A.
I Corps
I Corps is a major U.S. Army corps-level headquarters responsible for commanding and coordinating large-scale land operations, with a primary focus on the Indo-Pacific region.
-
B.
I Corps
I Corps was a major British Army field formation that played key roles in both World Wars, particularly in early operations in France and Belgium.
-
C.
I Corps
I Corps was a major field formation of the Ottoman Army that played a significant role in the empire’s military operations during the First World War.
-
D.
I Corps
I Corps is a major field corps-level formation of the Republic of Korea Army responsible for operational command and control of multiple divisions.
-
E.
I Corps
I Corps was a major French military formation of the Armée du Nord, notably active during the Napoleonic Wars.
- 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_69ff908b1d6c819086441305b55f81fb |
completed | May 9, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69ff92b08cac8190b654f4182c0fa7b4 |
completed | May 9, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff935e5d3881908215b6f45b7b6bf5 |
completed | May 9, 2026, 8:04 p.m. |
Created at: April 10, 2026, 4:14 a.m.