Triple
T8887900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | runway system of Kansai International Airport |
E211580
|
entity |
| Predicate | hasNavigationAid |
P8170
|
FINISHED |
| Object |
PAPI
PAPI is a visual glide slope indicator system used at airports to help pilots maintain the correct approach angle during landing.
|
E764313
|
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: PAPI | Statement: [runway system of Kansai International Airport, hasNavigationAid, PAPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAPI Context triple: [runway system of Kansai International Airport, hasNavigationAid, PAPI]
-
A.
PAP
PAP is the commonly used abbreviation for China’s paramilitary People’s Armed Police force responsible for internal security and law enforcement support.
-
B.
PAP
PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
-
C.
PAP
PAP is the IATA airport code for Toussaint Louverture International Airport, the main international gateway serving Port-au-Prince, Haiti.
-
D.
PIP
PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
-
E.
PIP
PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
- 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: PAPI Triple: [runway system of Kansai International Airport, hasNavigationAid, PAPI]
Generated description
PAPI is a visual glide slope indicator system used at airports to help pilots maintain the correct approach angle during landing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PAPI Target entity description: PAPI is a visual glide slope indicator system used at airports to help pilots maintain the correct approach angle during landing.
-
A.
PAP
PAP is the commonly used abbreviation for China’s paramilitary People’s Armed Police force responsible for internal security and law enforcement support.
-
B.
PAP
PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
-
C.
PAP
PAP is the IATA airport code for Toussaint Louverture International Airport, the main international gateway serving Port-au-Prince, Haiti.
-
D.
PIP
PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
-
E.
PIP
PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618e58d08190be3ebcbe3701b1db |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabe17c78819087e74618ac49a214 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfac9c743c8190a26f753111f07281 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad54cf5c81908558fd4c21f2f3b6 |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.