Triple
T22208094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lengkuas Island |
E548868
|
entity |
| Predicate | lighthouseBuilder |
P147295
|
FINISHED |
| Object | Dutch colonial government |
—
|
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: Dutch colonial government | Statement: [Lengkuas Island, lighthouseBuilder, Dutch colonial government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lighthouseBuilder Context triple: [Lengkuas Island, lighthouseBuilder, Dutch colonial government]
-
A.
lighthouseBuiltIn
Indicates that a lighthouse was constructed or established in a specific location or during a specific time period.
-
B.
lighthouseFunction
Indicates that an entity serves as a lighthouse, providing navigational guidance or warning signals to other entities (such as ships or aircraft).
-
C.
lighthouseType
Indicates the specific classification or category of a lighthouse based on its design, function, or operational characteristics.
-
D.
lighthouseRebuilt
Indicates that a lighthouse, previously existing, has been reconstructed or built again after damage, destruction, or decommissioning.
-
E.
lighthouseConstructedIn
Indicates that a lighthouse was built or established during a specific time period or in a specific year.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b29eb808190ab8abaa1e0e354fa |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e723f65c5c8190a0ee3c539e5d0767 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:36 p.m.