Triple
T723592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Chávez International Airport |
E14671
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
|
E86732
|
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: LIM | Statement: [Jorge Chávez International Airport, IATAcode, LIM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIM Context triple: [Jorge Chávez International Airport, IATAcode, LIM]
-
A.
LIF
LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
-
B.
LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
-
C.
Lin
Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
-
D.
L2M
L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
-
E.
LI
LI is the Roman numeral representing the number 51.
- 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: LIM Triple: [Jorge Chávez International Airport, IATAcode, LIM]
Generated description
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LIM Target entity description: LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
-
A.
LIF
LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
-
B.
LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
-
C.
Lin
Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
-
D.
L2M
L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
-
E.
LI
LI is the Roman numeral representing the number 51.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6375c16488190a8509e1e2b5c6a7d |
completed | March 3, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69a63bb28e1c8190bb363ef7d389dddd |
completed | March 3, 2026, 1:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a63c2ac310819095eacf5017a637f2 |
completed | March 3, 2026, 1:40 a.m. |
Created at: March 1, 2026, 7:37 p.m.