Triple
T7026881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwangju Metro |
E162970
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
GMRTC
GMRTC is the abbreviated name for the Gwangju Metropolitan Rapid Transit Corporation, the operator of the urban rail system in Gwangju, South Korea.
|
E636085
|
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: GMRTC | Statement: [Gwangju Metro, abbreviation, GMRTC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMRTC Context triple: [Gwangju Metro, abbreviation, GMRTC]
-
A.
MRTC
MRTC is the Marine Raider Training Center, the primary U.S. Marine Corps Special Operations Command facility responsible for training and preparing Marine Raiders for special operations missions.
-
B.
GMT400
GMT400 is General Motors’ full-size pickup and SUV platform produced from the late 1980s through the 1990s, underpinning vehicles like the Chevrolet C/K and GMC Sierra.
-
C.
GMTT
GMTT is the ICAO airport code for Tangier Ibn Battouta Airport in Tangier, Morocco.
-
D.
GMRC
GMRC is the organization responsible for developing and operating the metro rail system in Ahmedabad, India.
-
E.
GMT800
GMT800 is General Motors' full-size truck and SUV platform introduced in the late 1990s, underpinning vehicles like the Chevrolet Silverado and GMC Sierra.
- 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: GMRTC Triple: [Gwangju Metro, abbreviation, GMRTC]
Generated description
GMRTC is the abbreviated name for the Gwangju Metropolitan Rapid Transit Corporation, the operator of the urban rail system in Gwangju, South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMRTC Target entity description: GMRTC is the abbreviated name for the Gwangju Metropolitan Rapid Transit Corporation, the operator of the urban rail system in Gwangju, South Korea.
-
A.
MRTC
MRTC is the Marine Raider Training Center, the primary U.S. Marine Corps Special Operations Command facility responsible for training and preparing Marine Raiders for special operations missions.
-
B.
GMT400
GMT400 is General Motors’ full-size pickup and SUV platform produced from the late 1980s through the 1990s, underpinning vehicles like the Chevrolet C/K and GMC Sierra.
-
C.
GMTT
GMTT is the ICAO airport code for Tangier Ibn Battouta Airport in Tangier, Morocco.
-
D.
GMRC
GMRC is the organization responsible for developing and operating the metro rail system in Ahmedabad, India.
-
E.
GMT800
GMT800 is General Motors' full-size truck and SUV platform introduced in the late 1990s, underpinning vehicles like the Chevrolet Silverado and GMC Sierra.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fd6ab48190865271e16e8ff669 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77588285481909799a2bb76921b9a |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c777902cbc8190b24ee5e441c5607e |
completed | March 28, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77807d33c8190bb3e236829f06071 |
completed | March 28, 2026, 6:41 a.m. |
Created at: March 27, 2026, 2:35 p.m.