Triple
T12950109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مجدو |
E309869
|
entity |
| Predicate | nearbyArchaeologicalSite |
P14422
|
FINISHED |
| Object | تل مجيدو |
E1011575
|
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: تل مجيدو | Statement: [مجدو, nearbyArchaeologicalSite, تل مجيدو]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: تل مجيدو Context triple: [مجدو, nearbyArchaeologicalSite, تل مجيدو]
-
A.
تل مجيدو
chosen
تل مجيدو هو موقع أثري وتل تاريخي في شمال فلسطين يُعتقد أنه يضم بقايا مدينة مجدو الكنعانية ويُعد من أهم المواقع الأثرية في منطقة الشرق الأدنى القديم.
-
B.
Arganda del Rey
Arganda del Rey is a municipality in central Spain known for its wine-making tradition and location within the metropolitan area of Madrid.
-
C.
Arabba
Arabba is a well-known alpine village and ski resort in the Dolomites of northern Italy, popular for winter sports and mountain tourism.
-
D.
Merida
Merida is a headstrong Scottish princess and skilled archer from Disney-Pixar's animated film "Brave," known for defying tradition to control her own destiny.
-
E.
El Azbakeya
El Azbakeya is a historic district in central Cairo known for its cultural landmarks, markets, and longstanding role as an urban hub of the city.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1dc4c88190ab27b832d6a7c556 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d9669c819090471eb7e035d83d |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:43 p.m.