Triple
T13793726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drogas Wave |
E331460
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Manilla |
E909547
|
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: Manilla | Statement: [Drogas Wave, hasPart, Manilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manilla Context triple: [Drogas Wave, hasPart, 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.
Bougainvillea City
Bougainvillea City is a floral-themed nickname for the Malaysian city of Ipoh, reflecting its abundance of bougainvillea plants and scenic charm.
-
C.
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.
-
D.
Manila
Manila is the OpenStack shared file system service that provides scalable, API-driven management of networked file shares.
-
E.
Lae
Lae is a major port city on the northeastern coast of Papua New Guinea that served as a key strategic site during World War II and is now an important commercial and industrial center.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b083387081909c6f4beb0e12cf36 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.