Triple
T19244153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOL Global |
E481204
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
MOLPoints
MOLPoints is a digital payment and prepaid credit system offered by MOL Global for online games, virtual goods, and digital services.
|
E1365535
|
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: MOLPoints | Statement: [MOL Global, product, MOLPoints]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MOLPoints Context triple: [MOL Global, product, MOLPoints]
-
A.
LifeMiles
LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
-
B.
Qmiles
Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
-
C.
Miles+Bonus
Miles+Bonus is Aegean Airlines’ frequent flyer program that rewards members with miles, elite tiers, and travel benefits across Aegean and its partner airlines.
-
D.
Virgin Points
Virgin Points are the loyalty currency used across Virgin’s rewards programs, redeemable for flights, upgrades, and other member benefits.
-
E.
Lotusmiles
Lotusmiles is the frequent-flyer loyalty program of Vietnam Airlines, offering members mileage accrual and tiered benefits for their travel with the carrier and its partners.
- 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: MOLPoints Triple: [MOL Global, product, MOLPoints]
Generated description
MOLPoints is a digital payment and prepaid credit system offered by MOL Global for online games, virtual goods, and digital services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MOLPoints Target entity description: MOLPoints is a digital payment and prepaid credit system offered by MOL Global for online games, virtual goods, and digital services.
-
A.
LifeMiles
LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
-
B.
Qmiles
Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
-
C.
Miles+Bonus
Miles+Bonus is Aegean Airlines’ frequent flyer program that rewards members with miles, elite tiers, and travel benefits across Aegean and its partner airlines.
-
D.
Virgin Points
Virgin Points are the loyalty currency used across Virgin’s rewards programs, redeemable for flights, upgrades, and other member benefits.
-
E.
Lotusmiles
Lotusmiles is the frequent-flyer loyalty program of Vietnam Airlines, offering members mileage accrual and tiered benefits for their travel with the carrier and its partners.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf47820819081e8b6af852bb1dd |
completed | April 20, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705de9bb88190a2a7b3fed79e95de |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a070661a2888190a4f56a27ddd38cc7 |
completed | May 15, 2026, 11:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0706eb41d88190a77adaf469df30e1 |
completed | May 15, 2026, 11:43 a.m. |
Created at: April 10, 2026, 1:27 p.m.