Triple
T20336630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PTH 59 |
E495624
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Letellier
Letellier is a small community in Manitoba, Canada, located in the rural municipality of Montcalm along the Red River.
|
E1425869
|
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: Letellier | Statement: [PTH 59, passesNear, Letellier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letellier Context triple: [PTH 59, passesNear, Letellier]
-
A.
Lepechin
Lepechin was an 18th-century Russian naturalist and explorer known for his extensive zoological and botanical studies across the Russian Empire.
-
B.
Émard
Émard is the namesake of the LaSalle—Émard federal electoral district in Montreal, Quebec, likely referring to a historically significant local figure or family.
-
C.
Lépaud
Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
-
D.
Boissière
Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
-
E.
Lanouaille
Lanouaille is a small commune in southwestern France’s Dordogne department, known for its rural character and location within the Périgord Vert area.
- 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: Letellier Triple: [PTH 59, passesNear, Letellier]
Generated description
Letellier is a small community in Manitoba, Canada, located in the rural municipality of Montcalm along the Red River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Letellier Target entity description: Letellier is a small community in Manitoba, Canada, located in the rural municipality of Montcalm along the Red River.
-
A.
Lepechin
Lepechin was an 18th-century Russian naturalist and explorer known for his extensive zoological and botanical studies across the Russian Empire.
-
B.
Émard
Émard is the namesake of the LaSalle—Émard federal electoral district in Montreal, Quebec, likely referring to a historically significant local figure or family.
-
C.
Lépaud
Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
-
D.
Boissière
Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
-
E.
Lanouaille
Lanouaille is a small commune in southwestern France’s Dordogne department, known for its rural character and location within the Périgord Vert area.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0869587df48190996936ccf1b87f1c |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a086af1f6e08190bcf1adfb619d77b2 |
completed | May 16, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086b7abb3081909087c965ca8a6793 |
completed | May 16, 2026, 1:04 p.m. |
Created at: April 16, 2026, 11:23 a.m.