Triple
T14662905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | كتارا |
E344290
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | اللؤلؤة قطر |
E67889
|
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: اللؤلؤة قطر | Statement: [كتارا, locatedNear, اللؤلؤة قطر]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: اللؤلؤة قطر Context triple: [كتارا, locatedNear, اللؤلؤة قطر]
-
A.
The Pearl-Qatar
chosen
The Pearl-Qatar is an artificial island and luxury residential, retail, and entertainment development off the coast of Doha, known for its upscale marinas, hotels, and waterfront living.
-
B.
Qatari Diar
Qatari Diar is a Qatari state-owned real estate investment and development company known for large-scale, high-profile property projects around the world.
-
C.
Al Jahadir
Al Jahadir is an Arab subtribe belonging to the larger Qahtan tribal confederation, traditionally associated with the southern Arabian Peninsula.
-
D.
Al Shaqab
Al Shaqab is a renowned equestrian center in Qatar focused on breeding, training, and promoting Arabian horses and equestrian sports.
-
E.
The Pearl-Qatar main island
The Pearl-Qatar main island is a large man-made island development in Doha, Qatar, known for its luxury residences, marinas, and upscale retail and dining districts.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e4789481909a64622a1d284373 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.