Triple
T3380683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAN Airlines (shares) |
E71174
|
entity |
| Predicate | hasTickerSymbol |
P1447
|
FINISHED |
| Object |
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.
|
E353614
|
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: LAN.SN | Statement: [LAN Airlines (shares), hasTickerSymbol, LAN.SN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAN.SN Context triple: [LAN Airlines (shares), hasTickerSymbol, LAN.SN]
-
A.
LAN
LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
-
B.
LNS
LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
-
C.
NIC
NIC is an abbreviation commonly used to refer to North Infirmary Command, a medical or correctional facility unit.
-
D.
NIC
NIC is the three-letter ISO 3166-1 alpha-3 country code assigned to Nicaragua.
-
E.
LN1
LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
- 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: LAN.SN Triple: [LAN Airlines (shares), hasTickerSymbol, LAN.SN]
Generated description
LAN.SN is the stock ticker symbol for the Chilean airline company LATAM Airlines Group (formerly LAN Airlines) on the Santiago Stock Exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LAN.SN Target entity description: LAN.SN is the stock ticker symbol for the Chilean airline company LATAM Airlines Group (formerly LAN Airlines) on the Santiago Stock Exchange.
-
A.
LAN
LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
-
B.
LNS
LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
-
C.
NIC
NIC is an abbreviation commonly used to refer to North Infirmary Command, a medical or correctional facility unit.
-
D.
NIC
NIC is the three-letter ISO 3166-1 alpha-3 country code assigned to Nicaragua.
-
E.
LN1
LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e7c7f48190afb78c311b424c93 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3344f9b448190aab1038ead60fa48 |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b338147cc0819095f00b28910e178a |
completed | March 12, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b338967c6c819090fe5f77bfa1978f |
completed | March 12, 2026, 10:05 p.m. |
Created at: March 8, 2026, 3:14 p.m.