Triple
T7899131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bitcointalk.org |
E183404
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object |
Meta
Meta is a discussion section on the Bitcointalk.org forum dedicated to topics about the forum itself, such as its rules, features, feedback, and administration.
|
E696531
|
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: Meta | Statement: [bitcointalk.org, hasSection, Meta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meta Context triple: [bitcointalk.org, hasSection, Meta]
-
A.
Meta
Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
-
B.
Meta
Meta is a coastal town on Italy’s Sorrento Peninsula, known for its beaches, cliffs, and proximity to Naples and the Amalfi Coast.
-
C.
Meta
Meta is a figure in Greek mythology known as the first wife of Aegeus, the king of Athens and father of Theseus.
-
D.
META
META is a department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production.
-
E.
Epic Games
Epic Games is an American video game and software developer best known for creating Fortnite and the Unreal Engine game development platform.
- 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: Meta Triple: [bitcointalk.org, hasSection, Meta]
Generated description
Meta is a discussion section on the Bitcointalk.org forum dedicated to topics about the forum itself, such as its rules, features, feedback, and administration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meta Target entity description: Meta is a discussion section on the Bitcointalk.org forum dedicated to topics about the forum itself, such as its rules, features, feedback, and administration.
-
A.
Meta
Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
-
B.
Meta
Meta is a coastal town on Italy’s Sorrento Peninsula, known for its beaches, cliffs, and proximity to Naples and the Amalfi Coast.
-
C.
Meta
Meta is a figure in Greek mythology known as the first wife of Aegeus, the king of Athens and father of Theseus.
-
D.
META
META is a department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production.
-
E.
Epic Games
Epic Games is an American video game and software developer best known for creating Fortnite and the Unreal Engine game development platform.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a2ae5048190a6824d34b582c366 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb719a08190a0545a361f559bf7 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1f864c819086d3a2b04061ead0 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76aede388190a56e066c3302c35e |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:01 p.m.