Triple
T12882220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelahatchie, Mississippi |
E308124
|
entity |
| Predicate | stateAbbreviation |
P2461
|
FINISHED |
| Object | MS |
E79155
|
NE FINISHED |
How this triple was built (2 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: [Pelahatchie, Mississippi, stateAbbreviation, MS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS Context triple: [Pelahatchie, Mississippi, stateAbbreviation, MS]
-
A.
MS
MS is the official vehicle registration code used on license plates for the German city of Münster.
-
B.
MS
MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
-
C.
MS
MS is the station code for Main Street station, a transit stop identified by this abbreviated designation.
-
D.
MS
chosen
MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
-
E.
MS
MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fd15888190baf90fc30f2a3e25 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55393a88190a88c9357a6db5aec |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:39 p.m.