Triple
T11321339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mira-Bhayandar |
E268099
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
MH-04
MH-04 is the regional vehicle registration code assigned to the Mira-Bhayandar area in the Indian state of Maharashtra.
|
E919770
|
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: MH-04 | Statement: [Mira-Bhayandar, vehicleRegistrationCode, MH-04]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MH-04 Context triple: [Mira-Bhayandar, vehicleRegistrationCode, MH-04]
-
A.
MH-02
MH-02 is the vehicle registration code assigned to the Juhu area in Mumbai, Maharashtra, India.
-
B.
M-40
M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
-
C.
M-4
M-4 is a major Russian federal highway that runs from Moscow to the Black Sea coast, serving as a key transport corridor in the country.
-
D.
MO-04
MO-04 is the commonly used abbreviation for Missouri's 4th congressional district, a U.S. House of Representatives district located in central and western Missouri.
-
E.
MR-73
MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
- 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: MH-04 Triple: [Mira-Bhayandar, vehicleRegistrationCode, MH-04]
Generated description
MH-04 is the regional vehicle registration code assigned to the Mira-Bhayandar area in the Indian state of Maharashtra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MH-04 Target entity description: MH-04 is the regional vehicle registration code assigned to the Mira-Bhayandar area in the Indian state of Maharashtra.
-
A.
MH-02
MH-02 is the vehicle registration code assigned to the Juhu area in Mumbai, Maharashtra, India.
-
B.
M-40
M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
-
C.
M-4
M-4 is a major Russian federal highway that runs from Moscow to the Black Sea coast, serving as a key transport corridor in the country.
-
D.
MO-04
MO-04 is the commonly used abbreviation for Missouri's 4th congressional district, a U.S. House of Representatives district located in central and western Missouri.
-
E.
MR-73
MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543055b588190a417b3d50ade989a |
completed | April 19, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69e5474879088190990468d960b26739 |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eccdd3881908536ee3f9f4ef516 |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:32 p.m.