Triple
T4585144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sialkot |
E101948
|
entity |
| Predicate | airportICAOcode |
P419
|
FINISHED |
| Object |
OPST
OPST is the ICAO airport code for Sialkot International Airport in Sialkot, Pakistan.
|
E454664
|
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: OPST | Statement: [Sialkot, airportICAOcode, OPST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPST Context triple: [Sialkot, airportICAOcode, OPST]
-
A.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
-
B.
O.P.
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
-
C.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
-
D.
OPS
OPS is the abbreviated name for the Office of Peace Operations, Sanctions, and Counterterrorism, a U.S. State Department bureau focused on peacekeeping, sanctions policy, and counterterrorism efforts.
-
E.
OPH
OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
- 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: OPST Triple: [Sialkot, airportICAOcode, OPST]
Generated description
OPST is the ICAO airport code for Sialkot International Airport in Sialkot, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OPST Target entity description: OPST is the ICAO airport code for Sialkot International Airport in Sialkot, Pakistan.
-
A.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
-
B.
O.P.
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
-
C.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
-
D.
OPS
OPS is the abbreviated name for the Office of Peace Operations, Sanctions, and Counterterrorism, a U.S. State Department bureau focused on peacekeeping, sanctions policy, and counterterrorism efforts.
-
E.
OPH
OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59056bb48190ba1e0b5beda9bdc4 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0a18c90819083953e78fc6de8db |
completed | March 21, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69bde2520f248190b746a322a3ec60bc |
completed | March 21, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde2aaf654819093e1cb3a533fead1 |
completed | March 21, 2026, 12:13 a.m. |
Created at: March 20, 2026, 1:10 p.m.