Triple
T903652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humberto Delgado Airport |
E19499
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LIS
LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
|
E106458
|
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: LIS | Statement: [Humberto Delgado Airport, IATAcode, LIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIS Context triple: [Humberto Delgado Airport, IATAcode, LIS]
-
A.
litas
The litas was the national currency of Lithuania before the adoption of the euro.
-
B.
PTLIS
PTLIS is the UN/LOCODE designation for the port and city of Lisbon, Portugal, used in international trade and transport documentation.
-
C.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
D.
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
-
E.
Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
- 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: LIS Triple: [Humberto Delgado Airport, IATAcode, LIS]
Generated description
LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LIS Target entity description: LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
-
A.
litas
The litas was the national currency of Lithuania before the adoption of the euro.
-
B.
PTLIS
PTLIS is the UN/LOCODE designation for the port and city of Lisbon, Portugal, used in international trade and transport documentation.
-
C.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
D.
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
-
E.
Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c736bb6c8190a9cad1ef536be785 |
completed | March 4, 2026, 5:46 a.m. |
| NEDg | Description generation | batch_69a7c7a5f03c81908bd3ed9eb3710141 |
completed | March 4, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c888cd98819082dc39739d14dc67 |
completed | March 4, 2026, 5:52 a.m. |
Created at: March 1, 2026, 7:39 p.m.