Triple
T2528888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | METRO light rail |
E56106
|
entity |
| Predicate | systemBrand |
P39392
|
FINISHED |
| Object | METRO |
E1376
|
NE FINISHED |
How this triple was built (3 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: METRO | Statement: [METRO light rail, systemBrand, METRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: METRO Context triple: [METRO light rail, systemBrand, METRO]
-
A.
Metro S.A.
Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
-
B.
Metros
Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
-
C.
Metro Insurgentes
Metro Insurgentes is a major Mexico City Metro station on Line 1, located near the Glorieta de Insurgentes and serving as a key transit hub for the Roma and Zona Rosa areas.
-
D.
Metro
chosen
Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
E.
Metro
"Metro" is a Russian disaster thriller film featuring Svetlana Khodchenkova in a prominent role, centered on a catastrophic flood in the Moscow subway system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemBrand Context triple: [METRO light rail, systemBrand, METRO]
-
A.
chipsetBrand
Indicates the brand or manufacturer associated with a device’s chipset.
-
B.
systemBoard
Indicates a relationship where a system is associated with, mounted on, or implemented via a particular main circuit board (motherboard) that hosts its core components.
-
C.
systemType
Indicates the classification or category of a system that an entity belongs to or operates as.
-
D.
biosVendor
Indicates the vendor or manufacturer responsible for producing the BIOS firmware for a device or system.
-
E.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd25903f08190b46e12d32278daca |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bb3b55c81909e72ed055887ecca |
completed | March 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd18e72a88190bdcf12b326d42fad |
completed | March 7, 2026, 7:19 a.m. |
Created at: March 6, 2026, 9:46 p.m.