Triple
T6242355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo Metro Line 2 |
E139634
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object | Shubra |
E271409
|
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: Shubra | Statement: [Cairo Metro Line 2, servesDistrict, Shubra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shubra Context triple: [Cairo Metro Line 2, servesDistrict, Shubra]
-
A.
Shubra
chosen
Shubra is a densely populated urban district in northern Cairo, Egypt, known for its vibrant commercial streets and diverse residential neighborhoods.
-
B.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
C.
Umaria
Umaria is a town and district headquarters in the central Indian state of Madhya Pradesh, known as a gateway to the nearby Bandhavgarh National Park.
-
D.
Sabya
Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
-
E.
Vashi
Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631933488190838b424ec0fc2155 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20e0d62208190928bab473ca64417 |
completed | March 24, 2026, 4:07 a.m. |
Created at: March 22, 2026, 4:23 p.m.