Triple
T12025723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Mexico State Road 104 |
E286271
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
NM 104
NM 104 is a state highway in New Mexico that runs through rural plains and mesas, connecting the city of Las Vegas to the town of Tucumcari.
|
E959763
|
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: NM 104 | Statement: [New Mexico State Road 104, abbreviation, NM 104]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NM 104 Context triple: [New Mexico State Road 104, abbreviation, NM 104]
-
A.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
-
B.
NM 502
NM 502 is a state highway in New Mexico that connects the city of Los Alamos with U.S. Route 84/285 near Pojoaque, serving as a key access route to the Los Alamos area.
-
C.
N104
N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
-
D.
NM 290
NM 290 is a New Mexico state highway route that intersects with NM 4 and serves local traffic in its region.
-
E.
NM 30
NM 30 is a New Mexico state highway route that serves as part of the regional road network connecting communities in the state.
- 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: NM 104 Triple: [New Mexico State Road 104, abbreviation, NM 104]
Generated description
NM 104 is a state highway in New Mexico that runs through rural plains and mesas, connecting the city of Las Vegas to the town of Tucumcari.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NM 104 Target entity description: NM 104 is a state highway in New Mexico that runs through rural plains and mesas, connecting the city of Las Vegas to the town of Tucumcari.
-
A.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
-
B.
NM 502
NM 502 is a state highway in New Mexico that connects the city of Los Alamos with U.S. Route 84/285 near Pojoaque, serving as a key access route to the Los Alamos area.
-
C.
N104
N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
-
D.
NM 290
NM 290 is a New Mexico state highway route that intersects with NM 4 and serves local traffic in its region.
-
E.
NM 30
NM 30 is a New Mexico state highway route that serves as part of the regional road network connecting communities in the state.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f02638819091e0cc0e93fa5ea7 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b71e5c48190a58ace8ef7c8928d |
completed | May 1, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69f48fc7a8848190a06b34cc45db4789 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495f069c48190a6e5856c272420c0 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:47 p.m.