Triple
T16111919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aligarh district |
E390898
|
entity |
| Predicate | majorHighway |
P385
|
FINISHED |
| Object |
NH-93
NH-93 is a significant national highway in India that serves as a key transportation route through Aligarh district and surrounding regions.
|
E1194413
|
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: NH-93 | Statement: [Aligarh district, majorHighway, NH-93]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NH-93 Context triple: [Aligarh district, majorHighway, NH-93]
-
A.
NH-922
NH-922 is a designated National Highway in India that serves as an important regional roadway connecting towns and cities within the state of Bihar.
-
B.
N93
The N93 is a Nokia smartphone from the mid-2000s known for its swivel design and advanced video recording capabilities for its time.
-
C.
N98
N98 is the ICAO airport code assigned to Boyne City Municipal Airport, a public general aviation facility serving Boyne City, Michigan.
-
D.
N98
N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
-
E.
N92
N92 is a Nokia smartphone model known for its early support of mobile TV and multimedia features.
- 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: NH-93 Triple: [Aligarh district, majorHighway, NH-93]
Generated description
NH-93 is a significant national highway in India that serves as a key transportation route through Aligarh district and surrounding regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NH-93 Target entity description: NH-93 is a significant national highway in India that serves as a key transportation route through Aligarh district and surrounding regions.
-
A.
NH-922
NH-922 is a designated National Highway in India that serves as an important regional roadway connecting towns and cities within the state of Bihar.
-
B.
N93
The N93 is a Nokia smartphone from the mid-2000s known for its swivel design and advanced video recording capabilities for its time.
-
C.
N98
N98 is the ICAO airport code assigned to Boyne City Municipal Airport, a public general aviation facility serving Boyne City, Michigan.
-
D.
N98
N98 is the Federal Aviation Administration (FAA) location identifier assigned to Boyne City Municipal Airport in Michigan, United States.
-
E.
N92
N92 is a Nokia smartphone model known for its early support of mobile TV and multimedia features.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20167ee1481909e56dc632bfc0fc5 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba90ffc81909d5eb8f0cfa9f147 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec6ce4e881908b530a981375cc55 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed469a5c8190932fa4ebc44358c4 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 5 a.m.