Triple
T12116569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grootegast |
E288576
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Marum |
E288578
|
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: Marum | Statement: [Grootegast, borderedBy, Marum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marum Context triple: [Grootegast, borderedBy, Marum]
-
A.
Marum
chosen
Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
-
B.
Marum
Marum is one of the main active volcanic craters on Ambrym Island in Vanuatu, known for its persistent lava lake and dramatic eruptions.
-
C.
Marau
Marau is an Oceanic language spoken by a small community in Papua New Guinea.
-
D.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
E.
Mamburao
Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.