Triple
T239300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cundinamarca Department |
E4892
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Meta Department |
E31474
|
NE FINISHED |
How this triple was built (2 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 Department | Statement: [Cundinamarca Department, borders, Meta Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meta Department Context triple: [Cundinamarca Department, borders, Meta Department]
-
A.
Meta Department
chosen
Meta Department is an administrative region in central Colombia known for its vast plains (Llanos), agriculture, and oil production.
-
B.
Home Department
The Home Department was a former British government ministry responsible for domestic affairs, which was later reorganized and succeeded by the Home Office.
-
C.
Dictionary Department
The Dictionary Department is the division of the Royal Spanish Academy responsible for researching, updating, and producing its official dictionaries of the Spanish language.
-
D.
Meta Platforms, Inc.
Meta Platforms, Inc. is a major American technology company best known as the parent of Facebook, Instagram, WhatsApp, and other social media and virtual reality products.
-
E.
Meta AI
Meta AI is Meta Platforms’ artificial intelligence division, responsible for developing large-scale AI models, research, and consumer-facing tools like the Meta AI assistant integrated across its apps and services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25ceaecdc81909e9ff49cb6a4e02a |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36cf0474c8190834287d57cea7582 |
completed | Feb. 28, 2026, 10:32 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.