Triple
T890371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharashtra |
E19223
|
entity |
| Predicate | ISOCode |
P208
|
FINISHED |
| Object |
IN-MH
IN-MH is the ISO 3166-2 code representing the Indian state of Maharashtra.
|
E105734
|
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: IN-MH | Statement: [Maharashtra, ISOCode, IN-MH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IN-MH Context triple: [Maharashtra, ISOCode, IN-MH]
-
A.
IN-HP
IN-HP is the ISO 3166-2 code representing the Indian state of Himachal Pradesh.
-
B.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
-
C.
MH
MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
-
D.
MHA
MHA is the commonly used abbreviation for India’s Ministry of Home Affairs, the central government ministry responsible for internal security, domestic policy, and law and order.
-
E.
INA
INA is the commonly used abbreviation for the U.S. Immigration and Nationality Act, the foundational federal law governing immigration and citizenship in the United States.
- 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: IN-MH Triple: [Maharashtra, ISOCode, IN-MH]
Generated description
IN-MH is the ISO 3166-2 code representing the Indian state of Maharashtra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IN-MH Target entity description: IN-MH is the ISO 3166-2 code representing the Indian state of Maharashtra.
-
A.
IN-HP
IN-HP is the ISO 3166-2 code representing the Indian state of Himachal Pradesh.
-
B.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
-
C.
MH
MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
-
D.
MHA
MHA is the commonly used abbreviation for India’s Ministry of Home Affairs, the central government ministry responsible for internal security, domestic policy, and law and order.
-
E.
INA
INA is the commonly used abbreviation for the U.S. Immigration and Nationality Act, the foundational federal law governing immigration and citizenship in the United States.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad0086a081908c47c285896a1f3c |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c023464481909759c457e87266ab |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c1509a8c81909b8cf074e1ce7169 |
completed | March 4, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c21f163881908f7cb02a68ad1220 |
completed | March 4, 2026, 5:24 a.m. |
Created at: March 1, 2026, 7:39 p.m.