Triple
T1479580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Route 2 |
E30920
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MA 2 |
E74362
|
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: MA 2 | Statement: [Massachusetts Route 2, abbreviation, MA 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MA 2 Context triple: [Massachusetts Route 2, abbreviation, MA 2]
-
A.
MA 2
chosen
MA 2 is a major east–west state highway in Massachusetts that connects the Boston area with the north-central and western parts of the state.
-
B.
MA 16
MA 16 is a state highway designation for a major east–west route in Massachusetts that passes through several cities and suburbs near Boston.
-
C.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
-
D.
MA
MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
-
E.
MAB
MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6739d2481909ea8d8e075f62cf3 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15aff1288190a3e36324d975d482 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.