Triple
T17771461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Nicolas, Batangas |
E443648
|
entity |
| Predicate | hasTransportModeForTourists |
P86086
|
FINISHED |
| Object | boat to Taal Volcano |
—
|
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: boat to Taal Volcano | Statement: [San Nicolas, Batangas, hasTransportModeForTourists, boat to Taal Volcano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportModeForTourists Context triple: [San Nicolas, Batangas, hasTransportModeForTourists, boat to Taal Volcano]
-
A.
hasTourismFunction
Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
-
B.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
C.
hasTouristInfrastructure
Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
-
D.
hasTourismStyle
Indicates the type or style of tourism associated with or characteristic of a particular entity.
-
E.
transportModePresent
chosen
Indicates that a particular mode of transportation is involved or available in the described context or event.
- F. None of above.
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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e486005770819085d637279b2334eb |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:11 a.m.