Triple
T14950330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawit |
E372774
|
entity |
| Predicate | hasTransportationLink |
P1298
|
FINISHED |
| Object | Cavitex |
E893424
|
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: Cavitex | Statement: [Kawit, hasTransportationLink, Cavitex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavitex Context triple: [Kawit, hasTransportationLink, Cavitex]
-
A.
Cavitex
chosen
Cavitex is a major expressway in the Philippines that connects Metro Manila to nearby provinces in Cavite, easing traffic and facilitating regional travel and commerce.
-
B.
Ivoclar Vivadent
Ivoclar Vivadent is a global dental materials and technology company known for producing products and systems for restorative, prosthetic, and aesthetic dentistry.
-
C.
Crest
Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
-
D.
Crest
Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
-
E.
Pectacon
Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68fae3c81909873b113bfcaca05 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e986dfc8190a5cf363dabe6bdef |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.