Triple
T15626466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Army |
E375691
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | PA |
E375691
|
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: PA | Statement: [Pakistan Army, abbreviation, PA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PA Context triple: [Pakistan Army, abbreviation, PA]
-
A.
PA
PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
-
B.
PA
chosen
PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
-
C.
PA
PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
-
D.
PA
PA is the official abbreviation for the Philippine Army, the main ground warfare branch of the Armed Forces of the Philippines.
-
E.
PA
PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 10, 2026, 4:14 a.m.