Triple
T18321589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren County, Mississippi |
E438892
|
entity |
| Predicate | hasPostalAbbreviationState |
P2461
|
FINISHED |
| Object |
MS
MS is the standard two-letter United States Postal Service abbreviation for the state of Mississippi.
|
E79155
|
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: MS | Statement: [Warren County, Mississippi, hasPostalAbbreviationState, MS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS Context triple: [Warren County, Mississippi, hasPostalAbbreviationState, MS]
-
A.
MS
MS is the official vehicle registration code used on license plates for the German city of Münster.
-
B.
MS
MS is the New York Stock Exchange ticker symbol for Morgan Stanley, a leading global investment bank and financial services firm.
-
C.
MS
MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
-
D.
MS
MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
-
E.
MS
MS is the vehicle registration code used on license plates for vehicles registered in Târgu Mureș, a city in Romania.
- 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: MS Triple: [Warren County, Mississippi, hasPostalAbbreviationState, MS]
Generated description
MS is the standard two-letter United States Postal Service abbreviation for the state of Mississippi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MS Target entity description: MS is the standard two-letter United States Postal Service abbreviation for the state of Mississippi.
-
A.
MS
chosen
MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
-
B.
MS
MS is the station code for Main Street station, a transit stop identified by this abbreviated designation.
-
C.
MS
MS is the official vehicle registration code for the Brazilian state of Mato Grosso do Sul, whose capital is Campo Grande.
-
D.
MS
MS is the two-letter IATA airline designator assigned to EgyptAir, the flag carrier of Egypt.
-
E.
MS
MS is the official vehicle registration code used on license plates for the German city of Münster.
- F. None of above.
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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa7be288190983f13e9c7061b6d |
completed | April 19, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4c8224c819085369e23b7265dcb |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c6397260819085b81b68cac69907 |
completed | May 13, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c84f469c8190aef27154c17fd652 |
completed | May 13, 2026, 12:39 a.m. |
Created at: April 10, 2026, 10:36 a.m.