Triple
T8601591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montana House of Representatives |
E203687
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MTHR
MTHR is the standard abbreviation for the Montana House of Representatives, the lower chamber of the Montana State Legislature.
|
E744813
|
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: MTHR | Statement: [Montana House of Representatives, hasAbbreviation, MTHR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTHR Context triple: [Montana House of Representatives, hasAbbreviation, MTHR]
-
A.
MHTG
MHTG is the ICAO airport code for Toncontín International Airport, a major airport serving Tegucigalpa, Honduras.
-
B.
MOR
MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
-
C.
MOR
MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
-
D.
MNH
MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
-
E.
DHR
DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
- 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: MTHR Triple: [Montana House of Representatives, hasAbbreviation, MTHR]
Generated description
MTHR is the standard abbreviation for the Montana House of Representatives, the lower chamber of the Montana State Legislature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTHR Target entity description: MTHR is the standard abbreviation for the Montana House of Representatives, the lower chamber of the Montana State Legislature.
-
A.
MHTG
MHTG is the ICAO airport code for Toncontín International Airport, a major airport serving Tegucigalpa, Honduras.
-
B.
MOR
MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
-
C.
MOR
MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
-
D.
MNH
MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
-
E.
DHR
DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46d8ff408190acc7cd8dc99b2689 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f13f7081908317c1b2d87a51b2 |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69cea9d0dad0819095134f6f8cafb4c0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa7025388190a3f17aca46d4858e |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:24 p.m.