Triple
T66938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giza railway station |
E1334
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Minya
Minya is a major city in Upper Egypt on the Nile River, serving as an important regional administrative and commercial center.
|
E18203
|
NE FINISHED |
How this triple was built (4 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: Minya | Statement: [Giza railway station, connectsTo, Minya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minya Context triple: [Giza railway station, connectsTo, Minya]
-
A.
Aswan
Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
-
B.
Beni Suef Governorate
Beni Suef Governorate is an administrative region in central Egypt along the Nile, known for its agricultural economy and proximity to several important ancient Egyptian archaeological sites.
-
C.
Giza
Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
-
D.
Luxor
Luxor is a historic city in southern Egypt renowned for its vast ancient temple complexes and royal tombs along the Nile.
-
E.
Manouria
Manouria is a genus of large, primarily Asian tortoises known for including some of the most primitive living tortoise species.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Minya Triple: [Giza railway station, connectsTo, Minya]
Generated description
Minya is a major city in Upper Egypt on the Nile River, serving as an important regional administrative and commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minya Target entity description: Minya is a major city in Upper Egypt on the Nile River, serving as an important regional administrative and commercial center.
-
A.
Aswan
Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
-
B.
Beni Suef Governorate
Beni Suef Governorate is an administrative region in central Egypt along the Nile, known for its agricultural economy and proximity to several important ancient Egyptian archaeological sites.
-
C.
Giza
Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
-
D.
Luxor
Luxor is a historic city in southern Egypt renowned for its vast ancient temple complexes and royal tombs along the Nile.
-
E.
Manouria
Manouria is a genus of large, primarily Asian tortoises known for including some of the most primitive living tortoise species.
- F. None of above. chosen
Provenance (5 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24f01a2108190a494e7bfcced8290 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c529506c81908da1e88f04d6b0a0 |
completed | Feb. 28, 2026, 10:36 a.m. |
| NEDg | Description generation | batch_69a2c633ed688190937e3603b5bcfac8 |
completed | Feb. 28, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2c6cb23a88190a134f3820a080201 |
completed | Feb. 28, 2026, 10:43 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.