Triple
T20675380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigada Investigadora de Delitos Económicos |
E508146
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
BRIDEC
BRIDEC is a specialized Chilean investigative police unit focused on combating economic and financial crimes.
|
E1443880
|
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: BRIDEC | Statement: [Brigada Investigadora de Delitos Económicos, shortName, BRIDEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BRIDEC Context triple: [Brigada Investigadora de Delitos Económicos, shortName, BRIDEC]
-
A.
NBRDG
NBRDG is the station code for Newbridge railway station in Ireland.
-
B.
Z Bridge
Z Bridge is a notable bridge spanning the Mutha River in Pune, India, serving as an important local transport link.
-
C.
JK Bridge
JK Bridge is a striking modern cable-stayed bridge in Brasília, Brazil, renowned for its three asymmetrical steel arches spanning Lake Paranoá.
-
D.
Bridge (formerly)
Bridge (formerly) is a corporate learning and employee development platform that helps organizations deliver training, track performance, and improve workforce engagement.
-
E.
Euvelgunne bridge
Euvelgunne bridge is a road and/or rail bridge in the Dutch province of Groningen that spans the Van Starkenborghkanaal, facilitating local traffic across the canal.
- 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: BRIDEC Triple: [Brigada Investigadora de Delitos Económicos, shortName, BRIDEC]
Generated description
BRIDEC is a specialized Chilean investigative police unit focused on combating economic and financial crimes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BRIDEC Target entity description: BRIDEC is a specialized Chilean investigative police unit focused on combating economic and financial crimes.
-
A.
NBRDG
NBRDG is the station code for Newbridge railway station in Ireland.
-
B.
Z Bridge
Z Bridge is a notable bridge spanning the Mutha River in Pune, India, serving as an important local transport link.
-
C.
JK Bridge
JK Bridge is a striking modern cable-stayed bridge in Brasília, Brazil, renowned for its three asymmetrical steel arches spanning Lake Paranoá.
-
D.
Bridge (formerly)
Bridge (formerly) is a corporate learning and employee development platform that helps organizations deliver training, track performance, and improve workforce engagement.
-
E.
Euvelgunne bridge
Euvelgunne bridge is a road and/or rail bridge in the Dutch province of Groningen that spans the Van Starkenborghkanaal, facilitating local traffic across the canal.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd689f3881908347064014c9a32a |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.