Triple
T21977913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navlakhi Port |
E542758
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Morbi 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: Morbi district | Statement: [Navlakhi Port, district, Morbi district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morbi district Context triple: [Navlakhi Port, district, Morbi district]
-
A.
Morbi district
chosen
Morbi district is an administrative district in the state of Gujarat, India, known for its ceramic industry and the town of Morbi.
-
B.
Vikarabad district
Vikarabad district is an administrative region in the Indian state of Telangana, known for its hilly terrain, forests, and role as a watershed area for rivers in the region.
-
C.
Sheema District
Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
-
D.
Marjeyoun District
Marjeyoun District is an administrative district in southern Lebanon known for its strategic location near the borders with Israel and Syria and its mix of agricultural villages and historic towns.
-
E.
Buyende District
Buyende District is an administrative district in eastern Uganda, known for its rural communities and location along the shores of Lake Kyoga.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248a60708190a9aa8b9b7738c261 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.