Triple
T19230864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Henri |
E480866
|
entity |
| Predicate | hasPostalCodePrefix |
P961
|
FINISHED |
| Object |
H4C
H4C is a Canadian postal code prefix that serves part of the Saint-Henri neighborhood in Montreal, Quebec.
|
E1365040
|
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: H4C | Statement: [Saint-Henri, hasPostalCodePrefix, H4C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H4C Context triple: [Saint-Henri, hasPostalCodePrefix, H4C]
-
A.
H4T
H4T is a Canadian postal code prefix associated with the Saint-Laurent borough of Montreal, Quebec.
-
B.
HC4
The HC4 is a British Royal Air Force heavy-lift transport helicopter variant of the CH-47 Chinook, upgraded for enhanced performance and avionics.
-
C.
HC-4
HC-4 is a model of Coast Guard aircraft used for maritime patrol, search and rescue, and related operational missions.
-
D.
H4H
H4H is a U.S. federal mortgage relief initiative designed to help struggling homeowners refinance into more affordable, government-insured loans.
-
E.
H.430
H.430 is an ITU-T multimedia communication standard developed by Study Group 16, typically addressing technical requirements for audiovisual services over telecommunications networks.
- 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: H4C Triple: [Saint-Henri, hasPostalCodePrefix, H4C]
Generated description
H4C is a Canadian postal code prefix that serves part of the Saint-Henri neighborhood in Montreal, Quebec.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: H4C Target entity description: H4C is a Canadian postal code prefix that serves part of the Saint-Henri neighborhood in Montreal, Quebec.
-
A.
H4T
H4T is a Canadian postal code prefix associated with the Saint-Laurent borough of Montreal, Quebec.
-
B.
HC4
The HC4 is a British Royal Air Force heavy-lift transport helicopter variant of the CH-47 Chinook, upgraded for enhanced performance and avionics.
-
C.
HC-4
HC-4 is a model of Coast Guard aircraft used for maritime patrol, search and rescue, and related operational missions.
-
D.
H4H
H4H is a U.S. federal mortgage relief initiative designed to help struggling homeowners refinance into more affordable, government-insured loans.
-
E.
H.430
H.430 is an ITU-T multimedia communication standard developed by Study Group 16, typically addressing technical requirements for audiovisual services over telecommunications networks.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9ce5e081909df994841ce476d5 |
completed | April 20, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700f303fc8190b8acd9bbc0b6093d |
completed | May 15, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_6a07020e89c48190a61674ad9b2c410f |
completed | May 15, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07028efca08190aefa43f5fe8e595a |
completed | May 15, 2026, 11:25 a.m. |
Created at: April 10, 2026, 1:25 p.m.