Triple
T18562876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongying Shengli Airport |
E453688
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
DOY
DOY is the IATA airport code for Dongying Shengli Airport in Dongying, Shandong Province, China.
|
E1330986
|
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: DOY | Statement: [Dongying Shengli Airport, hasIATAcode, DOY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DOY Context triple: [Dongying Shengli Airport, hasIATAcode, DOY]
-
A.
dyo
dyo is the ISO 639-3 code for the Jola language, a Niger-Congo language spoken primarily in Senegal and surrounding regions.
-
B.
Daag
Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
-
C.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
D.
DAY
DAY is the three-letter IATA airport code assigned to Dayton International Airport in Dayton, Ohio.
-
E.
DIAS
DIAS is a renowned Irish research institute in Dublin focused on advanced studies in areas such as theoretical physics, cosmic physics, and Celtic studies.
- 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: DOY Triple: [Dongying Shengli Airport, hasIATAcode, DOY]
Generated description
DOY is the IATA airport code for Dongying Shengli Airport in Dongying, Shandong Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DOY Target entity description: DOY is the IATA airport code for Dongying Shengli Airport in Dongying, Shandong Province, China.
-
A.
dyo
dyo is the ISO 639-3 code for the Jola language, a Niger-Congo language spoken primarily in Senegal and surrounding regions.
-
B.
Daag
Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
-
C.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
D.
DAY
DAY is the three-letter IATA airport code assigned to Dayton International Airport in Dayton, Ohio.
-
E.
DIAS
DIAS is a renowned Irish research institute in Dublin focused on advanced studies in areas such as theoretical physics, cosmic physics, and Celtic studies.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afb4f088190adf0b2b64057a210 |
completed | April 19, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ae7faa48190954e42f20eeebbf0 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049c461c288190955ac8cdaefc055d |
completed | May 13, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cbbc0288190be82f11e660b7dff |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 11:42 a.m.