Triple
T1640706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haneda Airport |
E35463
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
HND
HND is the IATA airport code for Tokyo International Airport, commonly known as Haneda Airport, one of Japan’s busiest and primary airports serving the Tokyo metropolitan area.
|
E186914
|
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: HND | Statement: [Haneda Airport, IATAcode, HND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HND Context triple: [Haneda Airport, IATAcode, HND]
-
A.
HND
HND is the three-letter ISO 3166-1 alpha-3 country code assigned to Honduras.
-
B.
DGPA
DGPA is the abbreviated name of France’s Direction générale des patrimoines et de l’architecture, the national authority responsible for heritage and architectural policy.
-
C.
HN
HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
-
D.
DNP
DNP is the commonly used abbreviation for the Division of Nuclear Physics, a professional organization focused on research and advancement in nuclear physics.
-
E.
DSE
DSE is a premier postgraduate institution of the University of Delhi renowned for its programs and research in economics and related social sciences.
- 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: HND Triple: [Haneda Airport, IATAcode, HND]
Generated description
HND is the IATA airport code for Tokyo International Airport, commonly known as Haneda Airport, one of Japan’s busiest and primary airports serving the Tokyo metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HND Target entity description: HND is the IATA airport code for Tokyo International Airport, commonly known as Haneda Airport, one of Japan’s busiest and primary airports serving the Tokyo metropolitan area.
-
A.
HND
HND is the three-letter ISO 3166-1 alpha-3 country code assigned to Honduras.
-
B.
DGPA
DGPA is the abbreviated name of France’s Direction générale des patrimoines et de l’architecture, the national authority responsible for heritage and architectural policy.
-
C.
HN
HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
-
D.
DNP
DNP is the commonly used abbreviation for the Division of Nuclear Physics, a professional organization focused on research and advancement in nuclear physics.
-
E.
DSE
DSE is a premier postgraduate institution of the University of Delhi renowned for its programs and research in economics and related social sciences.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a3c883c8190bec1d87ecedf2575 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad609cf8488190ba334bdff2c5e78d |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad61ff65b881909009c230780a146e |
completed | March 8, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad62ec3a80819085fef1c378b9abdc |
completed | March 8, 2026, 11:52 a.m. |
Created at: March 4, 2026, 7:28 p.m.