Triple
T7017526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mahseer |
E162732
|
entity |
| Predicate | commonNameOf |
P1354
|
FINISHED |
| Object |
Tor tambroides
Tor tambroides is a large, economically important freshwater fish species of the mahseer group native to rivers and streams in Southeast Asia.
|
E636344
|
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: Tor tambroides | Statement: [mahseer, commonNameOf, Tor tambroides]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tor tambroides Context triple: [mahseer, commonNameOf, Tor tambroides]
-
A.
Toritto
Toritto is a small town and comune in the Apulia region of southern Italy, known for its agricultural production, particularly almonds and olives.
-
B.
Tor Tiv
Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
-
C.
Transbordeur
Transbordeur is a renowned concert hall and cultural venue in Villeurbanne, France, known for hosting a wide range of contemporary music events and performances.
-
D.
Tiendesitas
Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
-
E.
Tambor
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
- 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: Tor tambroides Triple: [mahseer, commonNameOf, Tor tambroides]
Generated description
Tor tambroides is a large, economically important freshwater fish species of the mahseer group native to rivers and streams in Southeast Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tor tambroides Target entity description: Tor tambroides is a large, economically important freshwater fish species of the mahseer group native to rivers and streams in Southeast Asia.
-
A.
Toritto
Toritto is a small town and comune in the Apulia region of southern Italy, known for its agricultural production, particularly almonds and olives.
-
B.
Tor Tiv
Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
-
C.
Transbordeur
Transbordeur is a renowned concert hall and cultural venue in Villeurbanne, France, known for hosting a wide range of contemporary music events and performances.
-
D.
Tiendesitas
Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
-
E.
Tambor
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d629fc81908854390ddf99b1db |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775656fe48190a9690f5aaca3ba4c |
completed | March 28, 2026, 6:29 a.m. |
| NEDg | Description generation | batch_69c7774e453881909df31386a911cfa4 |
completed | March 28, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c777d9c29c81908a816aed059ecc96 |
completed | March 28, 2026, 6:40 a.m. |
Created at: March 27, 2026, 2:34 p.m.