Triple
T18892792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Township of Brock |
E462132
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Manilla |
—
|
NE NERFINISHED |
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: Manilla | Statement: [Township of Brock, hasCommunity, Manilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manilla Context triple: [Township of Brock, hasCommunity, Manilla]
-
A.
Manilla
chosen
Manilla is a small rural town in the New England region of New South Wales, Australia, known for its agriculture and outdoor recreation activities.
-
B.
Manila, Philippine Islands
Manila, Philippine Islands is the capital and chief city of the Philippines, serving as its historic, political, and economic center.
-
C.
Bougainvillea City
Bougainvillea City is a floral-themed nickname for the Malaysian city of Ipoh, reflecting its abundance of bougainvillea plants and scenic charm.
-
D.
Manila
Manila is the capital city of the Philippines, a historic and densely populated coastal metropolis that has long served as the country’s political, economic, and cultural center.
-
E.
Manila
Manila is the OpenStack shared file system service that provides scalable, API-driven management of networked file shares.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47d392c81909297211c7d7610a1 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.