Triple
T17210119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marj |
E417704
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | Marj District |
—
|
NE NERFINISHED |
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: Marj District | Statement: [Marj, administrativeDivision, Marj District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marj District Context triple: [Marj, administrativeDivision, Marj District]
-
A.
Marj District
chosen
Marj District is an administrative district in northeastern Libya centered around the town of Marj.
-
B.
Masin District
Masin District is an administrative district located within Huari Province in the Ancash Region of Peru, known for its Andean highland geography and rural communities.
-
C.
Maran District
Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
-
D.
Maktaaral District
Maktaaral District is an administrative district in southern Kazakhstan, located in the agricultural region historically associated with the South Kazakhstan Region.
-
E.
Siha District
Siha District is an administrative district in northern Tanzania, located within the Kilimanjaro Region near the slopes of Mount Kilimanjaro.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc4792081909443df7937768ede |
completed | April 19, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:38 a.m.