Triple
T66941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giza railway station |
E1334
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Qena
Qena is a city in Upper Egypt on the east bank of the Nile, known as a regional administrative center and gateway to nearby ancient sites such as Dendera.
|
E10374
|
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: Qena | Statement: [Giza railway station, connectsTo, Qena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qena Context triple: [Giza railway station, connectsTo, Qena]
-
A.
Isis
Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
-
B.
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
C.
Horus of Kubban
Horus of Kubban is a local form of the ancient Egyptian god Horus venerated in the Nubian region near Kubban, associated with kingship and protection.
-
D.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
E.
Miryam
Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
- 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: Qena Triple: [Giza railway station, connectsTo, Qena]
Generated description
Qena is a city in Upper Egypt on the east bank of the Nile, known as a regional administrative center and gateway to nearby ancient sites such as Dendera.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qena Target entity description: Qena is a city in Upper Egypt on the east bank of the Nile, known as a regional administrative center and gateway to nearby ancient sites such as Dendera.
-
A.
Isis
Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
-
B.
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
C.
Horus of Kubban
Horus of Kubban is a local form of the ancient Egyptian god Horus venerated in the Nubian region near Kubban, associated with kingship and protection.
-
D.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
E.
Miryam
Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
- 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_69a275e2a91c81908ec21814794d70a6 |
completed | Feb. 28, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69a276c04f308190b3089549a8bc7cec |
completed | Feb. 28, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a277437a1c819086ce4faf0e913a1d |
completed | Feb. 28, 2026, 5:04 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.