Triple
T6242371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo Metro Line 2 |
E139634
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Dokki |
E578152
|
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: Dokki | Statement: [Cairo Metro Line 2, hasStation, Dokki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dokki Context triple: [Cairo Metro Line 2, hasStation, Dokki]
-
A.
Dokki
chosen
Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
-
B.
Dokka
Dokka is a small Norwegian town that serves as a local commercial and service center in the inland region of Oppland.
-
C.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
D.
Tokkō
Tokkō was the colloquial name for Japan’s prewar and wartime Special Higher Police, a political police force tasked with suppressing dissent and ideological opposition.
-
E.
Dok
Dok is an ancient location associated with the Hasmonean leader Simon Thassi, known primarily as the site of his assassination.
- 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_69c24406809c8190a827a52abce88ecc |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:23 p.m.