Triple
T12606332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Military Academy |
E300986
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
PMA
PMA is the premier officer training institution of the Pakistan Army, located in Kakul near Abbottabad.
|
E994068
|
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: PMA | Statement: [Pakistan Military Academy, alsoKnownAs, PMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PMA Context triple: [Pakistan Military Academy, alsoKnownAs, PMA]
-
A.
PMA
PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
-
B.
PMA
PMA is the station code for Portimão railway station in Portugal’s Algarve region.
-
C.
PMA-2
PMA-2 is a pressurized docking adapter on the International Space Station’s Destiny laboratory module that enables visiting spacecraft to securely dock with the station.
-
D.
PMB
PMB is the abbreviation for Pure Michigan Byway, a designation for particularly scenic or culturally significant roads in the state of Michigan.
-
E.
PAM
PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
- 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: PMA Triple: [Pakistan Military Academy, alsoKnownAs, PMA]
Generated description
PMA is the premier officer training institution of the Pakistan Army, located in Kakul near Abbottabad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PMA Target entity description: PMA is the premier officer training institution of the Pakistan Army, located in Kakul near Abbottabad.
-
A.
PMA
PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
-
B.
PMA
PMA is the station code for Portimão railway station in Portugal’s Algarve region.
-
C.
PMA-2
PMA-2 is a pressurized docking adapter on the International Space Station’s Destiny laboratory module that enables visiting spacecraft to securely dock with the station.
-
D.
PMB
PMB is the abbreviation for Pure Michigan Byway, a designation for particularly scenic or culturally significant roads in the state of Michigan.
-
E.
PAM
PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e7f2dc8190a42cab7a0e5ea7f3 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecd1b748190bd961497b30e1ae5 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f6637f6b188190b61c986aa37bcfed |
completed | May 2, 2026, 8:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f664db08e48190919ab5a175a23275 |
completed | May 2, 2026, 8:55 p.m. |
Created at: April 9, 2026, 5:11 p.m.