Triple
T7228518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manara Lighthouse |
E154843
|
entity |
| Predicate | locatedInArea |
P40
|
FINISHED |
| Object | Manara |
E583587
|
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: Manara | Statement: [Manara Lighthouse, locatedInArea, Manara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manara Context triple: [Manara Lighthouse, locatedInArea, Manara]
-
A.
Manara
chosen
Manara is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade and iconic lighthouse.
-
B.
Al Hamra Tower
Al Hamra Tower is a prominent skyscraper in Kuwait City known for its distinctive twisting design and status as one of the tallest buildings in Kuwait.
-
C.
Milad Tower
Milad Tower is a prominent multi-purpose telecommunications and observation tower in Tehran, Iran, and one of the tallest towers in the world.
-
D.
Cairo Tower
Cairo Tower is a prominent modernist concrete television and observation tower in central Cairo, renowned for its panoramic views over the city and the Nile.
-
E.
Al Zaeem
Al Zaeem is the famous Arabic nickname for Al Hilal SFC, one of Saudi Arabia’s most successful and popular football clubs.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9e0ba248190a57a3b4fa8b858c7 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc1cdfb88190934387e44531b732 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.