Triple
T16518074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahrain road network |
E401236
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Riffa |
E102551
|
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: Riffa | Statement: [Bahrain road network, servesCity, Riffa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riffa Context triple: [Bahrain road network, servesCity, Riffa]
-
A.
Riffa
chosen
Riffa is one of the largest and most prominent cities in Bahrain, known for its residential areas, historic sites, and commercial centers.
-
B.
Brunei-Kedayan
Brunei-Kedayan is a Malayic language variety spoken primarily by the Kedayan ethnic group in Brunei and surrounding regions of Borneo.
-
C.
Port Khalid
Port Khalid is a major seaport in the Emirate of Sharjah in the United Arab Emirates, serving as a key hub for regional trade and maritime logistics.
-
D.
Hawalli
Hawalli is a densely populated urban district in Kuwait known for its residential neighborhoods, shopping centers, and vibrant expatriate community.
-
E.
Bare’e
Bare’e is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7da2248190a540a5ef8686963d |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006086c0a881908976103f8a144f69 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.