Triple
T17244090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabriya |
E418575
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Fahaheel Expressway |
E1196364
|
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: Fahaheel Expressway | Statement: [Jabriya, roadConnection, Fahaheel Expressway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fahaheel Expressway Context triple: [Jabriya, roadConnection, Fahaheel Expressway]
-
A.
KESAS Expressway
KESAS Expressway is a major Malaysian highway in the Klang Valley that facilitates east–west travel and connects key suburbs and townships around Kuala Lumpur.
-
B.
Fahaheel Highway
chosen
Fahaheel Highway is a major coastal expressway in Kuwait that connects Kuwait City with southern suburbs and industrial areas.
-
C.
Lyari Expressway
Lyari Expressway is an urban elevated expressway in Karachi, Pakistan, built along the Lyari River to improve traffic flow and reduce congestion in the city.
-
D.
Murree Expressway
Murree Expressway is a major highway in Pakistan that provides a fast, modern route from Islamabad/Rawalpindi to the hill station of Murree and surrounding areas.
-
E.
Muscat Expressway
Muscat Expressway is a major highway in Muscat, Oman, designed to improve traffic flow and connectivity across the city and its surrounding areas.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21bb5c8190ad960f231fe54665 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f388608190b709b1c228a7ba29 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.