Triple
T4575403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supplementary Private Use Area-B |
E123129
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
PUA-B
PUA-B is a block of Unicode code points reserved for private, application-specific character definitions in the Supplementary Private Use Area-B range.
|
E453727
|
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: PUA-B | Statement: [Supplementary Private Use Area-B, abbreviation, PUA-B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PUA-B Context triple: [Supplementary Private Use Area-B, abbreviation, PUA-B]
-
A.
PBAP
PBAP (Phone Book Access Profile) is a Bluetooth profile that enables devices like car kits and headsets to access and manage a phone’s contacts and call history wirelessly.
-
B.
PBD
PBD is the IATA airport code for Porbandar Airport, a domestic airport serving the city of Porbandar in the Indian state of Gujarat.
-
C.
PAM
PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
-
D.
PUS
PUS is the IATA airport code for Gimhae International Airport serving the Busan metropolitan area in South Korea.
-
E.
PU
PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
- 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: PUA-B Triple: [Supplementary Private Use Area-B, abbreviation, PUA-B]
Generated description
PUA-B is a block of Unicode code points reserved for private, application-specific character definitions in the Supplementary Private Use Area-B range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PUA-B Target entity description: PUA-B is a block of Unicode code points reserved for private, application-specific character definitions in the Supplementary Private Use Area-B range.
-
A.
PBAP
PBAP (Phone Book Access Profile) is a Bluetooth profile that enables devices like car kits and headsets to access and manage a phone’s contacts and call history wirelessly.
-
B.
PBD
PBD is the IATA airport code for Porbandar Airport, a domestic airport serving the city of Porbandar in the Indian state of Gujarat.
-
C.
PAM
PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
-
D.
PUS
PUS is the IATA airport code for Gimhae International Airport serving the Busan metropolitan area in South Korea.
-
E.
PU
PU is a common abbreviation for the University of the Punjab, a major public research university based in Lahore, Pakistan.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c9f0bc81908d87f01ab067818a |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3e656a08190bb48d2ecae1eb798 |
completed | March 20, 2026, 11:10 p.m. |
| NEDg | Description generation | batch_69bdd71b55d8819085340c8abb9c369e |
completed | March 20, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd78c9a008190b774db2742a3b371 |
completed | March 20, 2026, 11:26 p.m. |
Created at: March 20, 2026, 1:10 p.m.