Triple
T17097139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal parks network |
E414877
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Jarry Park |
E600997
|
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: Jarry Park | Statement: [Montreal parks network, hasPart, Jarry Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jarry Park Context triple: [Montreal parks network, hasPart, Jarry Park]
-
A.
Jarry Park
chosen
Jarry Park is a large urban park in Montreal, Canada, known for its sports facilities, green spaces, and role as a popular recreational hub for local residents.
-
B.
Angrignon Park
Angrignon Park is a large urban green space in Montreal known for its extensive walking trails, wooded areas, and scenic ponds.
-
C.
Parc Arthur-Therrien
Parc Arthur-Therrien is a riverside urban park in the Verdun borough of Montreal, known for its green spaces, recreational facilities, and views of the Saint Lawrence River.
-
D.
Parc Cartier-Brébeuf
Parc Cartier-Brébeuf is a historic urban park in Quebec City, Canada, known for its riverside green spaces and commemorations of early French exploration.
-
E.
Parc Wilfrid-Bastien
Parc Wilfrid-Bastien is a public urban park in the Saint-Léonard borough of Montreal, known for its green spaces, recreational facilities, and community activities.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfe92988190aa066745ca9791d5 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fbe1d4c81909ce7e4626516b51d |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:35 a.m.