Triple
T3569313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solan |
E75528
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
HP-14
HP-14 is the vehicle registration code assigned to the Solan district in the Indian state of Himachal Pradesh.
|
E369928
|
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: HP-14 | Statement: [Solan, vehicleRegistrationCode, HP-14]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HP-14 Context triple: [Solan, vehicleRegistrationCode, HP-14]
-
A.
HP calculators
HP calculators are a renowned line of high-quality scientific, financial, and graphing calculators produced by Hewlett-Packard, widely respected for their durability, advanced features, and use in professional and engineering fields.
-
B.
Busicom
Busicom was a Japanese calculator and electronics company best known for commissioning the Intel 4004, the first commercial microprocessor.
-
C.
TX-14
TX-14 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
-
D.
TI-85
The TI-85 is a graphing calculator by Texas Instruments popular in the 1990s for advanced math and engineering coursework.
-
E.
Tandy
Tandy is a surname most notably associated with Jessica Tandy, the acclaimed British-American actress known for her work on stage and in film.
- 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: HP-14 Triple: [Solan, vehicleRegistrationCode, HP-14]
Generated description
HP-14 is the vehicle registration code assigned to the Solan district in the Indian state of Himachal Pradesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HP-14 Target entity description: HP-14 is the vehicle registration code assigned to the Solan district in the Indian state of Himachal Pradesh.
-
A.
HP calculators
HP calculators are a renowned line of high-quality scientific, financial, and graphing calculators produced by Hewlett-Packard, widely respected for their durability, advanced features, and use in professional and engineering fields.
-
B.
Busicom
Busicom was a Japanese calculator and electronics company best known for commissioning the Intel 4004, the first commercial microprocessor.
-
C.
TX-14
TX-14 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
-
D.
TI-85
The TI-85 is a graphing calculator by Texas Instruments popular in the 1990s for advanced math and engineering coursework.
-
E.
Tandy
Tandy is a surname most notably associated with Jessica Tandy, the acclaimed British-American actress known for her work on stage and in film.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c083ac8190a71cd9ede2114cac |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbb3383c8190b14845a7de162502 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc62e1b481908310d7af56fb4889 |
completed | March 13, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b2fdcc8190842d2d7bd09c65c4 |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.