Triple
T7919230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mpanda Airport |
E183901
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object |
HTMP
HTMP is the ICAO airport code assigned to Mpanda Airport in Tanzania.
|
E696991
|
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: HTMP | Statement: [Mpanda Airport, hasICAOCode, HTMP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HTMP Context triple: [Mpanda Airport, hasICAOCode, HTMP]
-
A.
HTM
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
-
B.
HTML
HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
-
C.
HT
HT is the ISO 3166-1 alpha-2 country code for Haiti.
-
D.
HTPAP
HTPAP is the UN/LOCODE identifier for the Port of Port-au-Prince, the principal seaport serving Haiti’s capital city.
-
E.
HAL (Hypertext Application Language)
HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
- 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: HTMP Triple: [Mpanda Airport, hasICAOCode, HTMP]
Generated description
HTMP is the ICAO airport code assigned to Mpanda Airport in Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HTMP Target entity description: HTMP is the ICAO airport code assigned to Mpanda Airport in Tanzania.
-
A.
HTM
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
-
B.
HTML
HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
-
C.
HT
HT is the ISO 3166-1 alpha-2 country code for Haiti.
-
D.
HTPAP
HTPAP is the UN/LOCODE identifier for the Port of Port-au-Prince, the principal seaport serving Haiti’s capital city.
-
E.
HAL (Hypertext Application Language)
HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a9173548190a04889726f7b251f |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5beea7988190972f7d02881d98f6 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f222c808190b9ef39896f149278 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76bb9a308190a9d7b34838d696db |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:05 p.m.