Triple
T23108293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harda railway station |
E576237
|
entity |
| Predicate | code |
P1537
|
FINISHED |
| Object |
HD
HD is the station code for Harda railway station, a rail transport facility serving the town of Harda in Madhya Pradesh, India.
|
E1571995
|
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: HD | Statement: [Harda railway station, code, HD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HD Context triple: [Harda railway station, code, HD]
-
A.
HD
HD is the vehicle registration code used for the German city of Heidelberg.
-
B.
HD
HD is a postcode area in the United Kingdom covering Huddersfield and its surrounding districts in West Yorkshire.
-
C.
HD
HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
-
D.
HD
HD is the standard astronomical abbreviation for the Henry Draper Catalogue, a widely used star catalog that assigns spectral classifications and identifiers to hundreds of thousands of stars.
-
E.
HD
HD is the abbreviation for the Croatian Home Guard, a World War II-era military formation associated with the Independent State of Croatia.
- 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: HD Triple: [Harda railway station, code, HD]
Generated description
HD is the station code for Harda railway station, a rail transport facility serving the town of Harda in Madhya Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HD Target entity description: HD is the station code for Harda railway station, a rail transport facility serving the town of Harda in Madhya Pradesh, India.
-
A.
HD
HD is the vehicle registration code used on license plates for vehicles registered in Hunedoara County, Romania.
-
B.
HD
HD is the vehicle registration code used for the German city of Heidelberg.
-
C.
HD
HD is a postcode area in the United Kingdom covering Huddersfield and its surrounding districts in West Yorkshire.
-
D.
HD
HD is the IATA airline designator assigned to Air Do, a Japanese regional airline based in Hokkaido.
-
E.
HD
HD is the abbreviation for the Croatian Home Guard, a World War II-era military formation associated with the Independent State of Croatia.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0c7b9c8190b1160485eae87c9b |
completed | April 29, 2026, 4:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23e7fdec8190a7ac3e8f18e677d8 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271d8fc48190a818c73660218022 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c2951a718819088c1c7d8435586ec |
completed | May 19, 2026, 9:11 a.m. |
Created at: April 17, 2026, 3:58 p.m.