Triple
T11452108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tora |
E271423
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Maadi |
E228998
|
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: Maadi | Statement: [Tora, locatedNear, Maadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maadi Context triple: [Tora, locatedNear, Maadi]
-
A.
Maadi
chosen
Maadi is a suburban district in southern Cairo, Egypt, known for its leafy residential streets, expatriate community, and proximity to the Nile.
-
B.
Labarna
Labarna is a royal title used by Hittite kings, particularly associated with early rulers of the Hittite Old Kingdom.
-
C.
Melissant
Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
-
D.
Maadi district
Maadi district is a leafy, upscale residential and commercial neighborhood in southern Cairo known for its expatriate community, international schools, and relatively quiet, green streets along the Nile.
-
E.
Melide
Melide is a Swiss municipality in the canton of Ticino, known for its scenic location on Lake Lugano and the Swissminiatur open-air miniature park.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6f4d788190ac59b0df946cebbc |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3d740008190a05ccb789ac0906d |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.