Triple
T5486941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAN Airlines |
E123604
|
entity |
| Predicate | loyaltyProgram |
P178
|
FINISHED |
| Object |
LANPASS
LANPASS is the frequent-flyer loyalty program of LAN Airlines, offering members points, elite tiers, and travel-related rewards for their flights and partner activity.
|
E522779
|
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: LANPASS | Statement: [LAN Airlines, loyaltyProgram, LANPASS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LANPASS Context triple: [LAN Airlines, loyaltyProgram, LANPASS]
-
A.
LAN.SN
LAN.SN is the stock ticker symbol for the Chilean airline company LATAM Airlines Group (formerly LAN Airlines) on the Santiago Stock Exchange.
-
B.
LANDCOM
LANDCOM is NATO’s headquarters responsible for overseeing and coordinating the alliance’s land forces operations and readiness.
-
C.
LAN
LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
-
D.
LAN
LAN is the station code used to identify the Langworthy tram stop on Greater Manchester’s Metrolink light rail network.
-
E.
iPASS
iPASS is a Taiwanese contactless smart card widely used for public transportation fares and small-value electronic payments.
- 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: LANPASS Triple: [LAN Airlines, loyaltyProgram, LANPASS]
Generated description
LANPASS is the frequent-flyer loyalty program of LAN Airlines, offering members points, elite tiers, and travel-related rewards for their flights and partner activity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LANPASS Target entity description: LANPASS is the frequent-flyer loyalty program of LAN Airlines, offering members points, elite tiers, and travel-related rewards for their flights and partner activity.
-
A.
LAN.SN
LAN.SN is the stock ticker symbol for the Chilean airline company LATAM Airlines Group (formerly LAN Airlines) on the Santiago Stock Exchange.
-
B.
LANDCOM
LANDCOM is NATO’s headquarters responsible for overseeing and coordinating the alliance’s land forces operations and readiness.
-
C.
LAN
LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
-
D.
LAN
LAN is the station code used to identify the Langworthy tram stop on Greater Manchester’s Metrolink light rail network.
-
E.
iPASS
iPASS is a Taiwanese contactless smart card widely used for public transportation fares and small-value electronic payments.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd92639b3481908845c280d334117f |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48aa12708190add69c5fd51d161d |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf4a2b6c508190ad13f6d9823ad747 |
completed | March 22, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4a87d1fc8190a0e0e75d6f9cd766 |
completed | March 22, 2026, 1:48 a.m. |
Created at: March 20, 2026, 2:10 p.m.