Triple
T28110305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marinduque Airport |
E710469
|
entity |
| Predicate | connectivityFocus |
P192975
|
FINISHED |
| Object | Manila connectivity |
—
|
LITERAL 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: Manila connectivity | Statement: [Marinduque Airport, connectivityFocus, Manila connectivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectivityFocus Context triple: [Marinduque Airport, connectivityFocus, Manila connectivity]
-
A.
connectivity
Indicates...the existence, degree, or quality of a link or communication pathway between entities, allowing interaction or information flow between them.
-
B.
networkFocus
Indicates a relationship where attention, resources, or activity are primarily directed toward a particular network or set of network connections.
-
C.
connectivityFeatures
Indicates the types of network or communication options that are available or supported for connecting to or through an entity.
-
D.
connectivityMode
Indicates how two or more entities are linked or able to communicate with each other, such as the type or method of connection used between them.
-
E.
deviceFocus
Indicates that attention, control, or primary interaction is directed toward a particular device in a given context.
- F. None of above. chosen
Provenance (4 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: April 27, 2026, 9:10 p.m.