Triple
T20101727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hodeidah International Airport |
E496559
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object |
HOD
HOD is the IATA airport code for Hodeidah International Airport in Yemen.
|
E1411707
|
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: HOD | Statement: [Hodeidah International Airport, hasIATACode, HOD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOD Context triple: [Hodeidah International Airport, hasIATACode, HOD]
-
A.
HOD
HOD is the commonly used abbreviation for Norway’s Ministry of Health and Care Services, the government body responsible for national health policy and healthcare administration.
-
B.
Hod
Hod is the eighth sephirah in the Kabbalistic Tree of Life, associated with intellect, communication, and the analytical aspect of divine energy.
-
C.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
D.
Hatod
Hatod is a town in the Indore district of Madhya Pradesh, India, functioning as a local commercial and administrative center for surrounding rural areas.
-
E.
HOOD
HOOD is the stock ticker symbol for Robinhood Markets, Inc., a financial services company known for its commission-free trading app for stocks, ETFs, options, and cryptocurrencies.
- 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: HOD Triple: [Hodeidah International Airport, hasIATACode, HOD]
Generated description
HOD is the IATA airport code for Hodeidah International Airport in Yemen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOD Target entity description: HOD is the IATA airport code for Hodeidah International Airport in Yemen.
-
A.
HOD
HOD is the commonly used abbreviation for Norway’s Ministry of Health and Care Services, the government body responsible for national health policy and healthcare administration.
-
B.
Hod
Hod is the eighth sephirah in the Kabbalistic Tree of Life, associated with intellect, communication, and the analytical aspect of divine energy.
-
C.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
D.
Hatod
Hatod is a town in the Indore district of Madhya Pradesh, India, functioning as a local commercial and administrative center for surrounding rural areas.
-
E.
HOOD
HOOD is the stock ticker symbol for Robinhood Markets, Inc., a financial services company known for its commission-free trading app for stocks, ETFs, options, and cryptocurrencies.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66670a5b48190afe06c8a582bba3d |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0827109f0081909747fb28dc439f77 |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0829a3a35881909505c9927563e646 |
completed | May 16, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082a26bff48190ab78612dfebc99d9 |
completed | May 16, 2026, 8:26 a.m. |
Created at: April 11, 2026, 11:27 p.m.