Triple
T932764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porbandar Airport |
E20129
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VAPR
VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
|
E109352
|
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: VAPR | Statement: [Porbandar Airport, ICAOcode, VAPR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VAPR Context triple: [Porbandar Airport, ICAOcode, VAPR]
-
A.
VRA
VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
-
B.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
-
C.
RVR
RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
-
D.
VGN
VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
-
E.
GVAP
GVAP is a comprehensive global framework developed to improve access to vaccines, strengthen immunization systems, and reduce vaccine-preventable diseases worldwide.
- 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: VAPR Triple: [Porbandar Airport, ICAOcode, VAPR]
Generated description
VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VAPR Target entity description: VAPR is the ICAO airport code assigned to Porbandar Airport in Gujarat, India.
-
A.
VRA
VRA is the common abbreviation for the landmark U.S. federal law enacted in 1965 to prohibit racial discrimination in voting.
-
B.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
-
C.
RVR
RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
-
D.
VGN
VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
-
E.
GVAP
GVAP is a comprehensive global framework developed to improve access to vaccines, strengthen immunization systems, and reduce vaccine-preventable diseases worldwide.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b34c457c819085cbfa0c798cb4c6 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee12da388190a26f0f7944d6f5f8 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f12e48f88190bd0aac156a76f0b9 |
completed | March 4, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f1a2688881908524f10350137f4f |
completed | March 4, 2026, 8:47 a.m. |
Created at: March 1, 2026, 7:40 p.m.