Triple
T36586261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Cebu urban area |
E902527
|
entity |
| Predicate | hasExpresswayProject |
P193508
|
FINISHED |
| Object | Cebu–Cordova Link Expressway |
—
|
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: Cebu–Cordova Link Expressway | Statement: [Metro Cebu urban area, hasExpresswayProject, Cebu–Cordova Link Expressway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpresswayProject Context triple: [Metro Cebu urban area, hasExpresswayProject, Cebu–Cordova Link Expressway]
-
A.
hasExpresswaySection
Indicates that an entity includes, contains, or is associated with a specific section or segment of an expressway.
-
B.
hasExpresswayIC
Indicates that an expressway has a specific interchange (IC) connected to it.
-
C.
hasExpressLanes
Indicates that a roadway or transportation facility includes designated express lanes for faster or prioritized travel.
-
D.
hasExpresswayName
Indicates that an entity (such as a road segment or route) is associated with a specific expressway name.
-
E.
expresswayServedBy
Indicates that a particular expressway is provided with service or access by a specified facility, route, or service entity.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: May 3, 2026, 4:11 p.m.