Triple
T14781491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zugot |
E347399
|
entity |
| Predicate | typicalOffices |
P5164
|
FINISHED |
| Object | Nasi |
E906783
|
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: Nasi | Statement: [Zugot, typicalOffices, Nasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nasi Context triple: [Zugot, typicalOffices, Nasi]
-
A.
Nasi
chosen
Nasi is the Hebrew title for a high-ranking leader or prince, historically used for the head of the Jewish community or Sanhedrin.
-
B.
nasi liwet
Nasi liwet is a fragrant Indonesian rice dish, often cooked in coconut milk and spices and served communally with assorted side dishes, particularly associated with Sundanese and Javanese culinary traditions.
-
C.
Arzo
Arzo is a village and former municipality in the canton of Ticino in southern Switzerland, now part of the municipality of Mendrisio.
-
D.
Soppeng
Soppeng is a historical region and former kingdom in South Sulawesi, Indonesia, known for its Bugis culture and role in regional politics.
-
E.
Sarilamak
Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d02e28081909a11d6e6fdb8d28c |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.