Triple
T2576138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | glo |
E57778
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object |
Ploom TECH
Ploom TECH is a Japanese heat-not-burn tobacco device developed by Japan Tobacco Inc. as an alternative to traditional cigarettes and e-cigarettes.
|
E278899
|
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: Ploom TECH | Statement: [glo, competesWith, Ploom TECH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ploom TECH Context triple: [glo, competesWith, Ploom TECH]
-
A.
Tecnotex
Tecnotex is a Cuban state-owned company operating under the military-run conglomerate GAESA, likely involved in managing commercial or industrial activities linked to the armed forces.
-
B.
Invetech
Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
-
C.
Blum
Blum is a surname of German and Jewish origin borne by various notable individuals across fields such as mathematics, politics, and the arts.
-
D.
Plasmolen
Plasmolen is a small village in the Dutch province of Limburg, known for its scenic forests, hills, and recreational areas near the Maas River.
-
E.
PUM
PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
- 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: Ploom TECH Triple: [glo, competesWith, Ploom TECH]
Generated description
Ploom TECH is a Japanese heat-not-burn tobacco device developed by Japan Tobacco Inc. as an alternative to traditional cigarettes and e-cigarettes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ploom TECH Target entity description: Ploom TECH is a Japanese heat-not-burn tobacco device developed by Japan Tobacco Inc. as an alternative to traditional cigarettes and e-cigarettes.
-
A.
Tecnotex
Tecnotex is a Cuban state-owned company operating under the military-run conglomerate GAESA, likely involved in managing commercial or industrial activities linked to the armed forces.
-
B.
Invetech
Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
-
C.
Blum
Blum is a surname of German and Jewish origin borne by various notable individuals across fields such as mathematics, politics, and the arts.
-
D.
Plasmolen
Plasmolen is a small village in the Dutch province of Limburg, known for its scenic forests, hills, and recreational areas near the Maas River.
-
E.
PUM
PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a606e481909bcea46de468bb99 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657413908190a03b9dd8dc40b2e4 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af67cbaf388190b5bb447af2a8e941 |
completed | March 10, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af682b38d08190bba53245e813f044 |
completed | March 10, 2026, 12:39 a.m. |
Created at: March 6, 2026, 9:49 p.m.