Triple
T1855668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 100 |
E41695
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ME 100
ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
|
E207555
|
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: ME 100 | Statement: [Maine State Route 100, abbreviation, ME 100]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ME 100 Context triple: [Maine State Route 100, abbreviation, ME 100]
-
A.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
B.
SP100
SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
-
C.
S-100
S-100 is a modern, universal hydrographic data model and framework used as the basis for next-generation electronic navigational charts and related marine geospatial products.
-
D.
MEEI
MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
-
E.
O-10
O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
- 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: ME 100 Triple: [Maine State Route 100, abbreviation, ME 100]
Generated description
ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ME 100 Target entity description: ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
-
A.
MEC
MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
-
B.
SP100
SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
-
C.
S-100
S-100 is a modern, universal hydrographic data model and framework used as the basis for next-generation electronic navigational charts and related marine geospatial products.
-
D.
MEEI
MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
-
E.
O-10
O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb07e5ed48190a7b8858e2b355109 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1c89bdc8190acf517a7731fa5c7 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add25c9c208190a576cf1123c0a2e6 |
completed | March 8, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add32803a48190b8ff08c605790f22 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:33 p.m.