Triple
T15482497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Bahah |
E376953
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object |
connected to Taif
Connected to Taif is a road link that provides a key transportation route between the city of Taif and the Al Bahah region in southwestern Saudi Arabia.
|
E1158506
|
NE FINISHED |
How this triple was built (4 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: connected to Taif | Statement: [Al Bahah, roadConnection, connected to Taif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: connected to Taif Context triple: [Al Bahah, roadConnection, connected to Taif]
-
A.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
B.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
C.
TaiK
TaiK is the former abbreviation for the University of Art and Design Helsinki, a prominent Finnish institution specializing in art, design, and media education and research.
-
D.
TAO
TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
-
E.
TAO
TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: connected to Taif Triple: [Al Bahah, roadConnection, connected to Taif]
Generated description
Connected to Taif is a road link that provides a key transportation route between the city of Taif and the Al Bahah region in southwestern Saudi Arabia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: connected to Taif Target entity description: Connected to Taif is a road link that provides a key transportation route between the city of Taif and the Al Bahah region in southwestern Saudi Arabia.
-
A.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
B.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
C.
TaiK
TaiK is the former abbreviation for the University of Art and Design Helsinki, a prominent Finnish institution specializing in art, design, and media education and research.
-
D.
TAO
TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
-
E.
TAO
TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
- F. None of above. chosen
Provenance (5 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0f4e648190b9cd9b1464209224 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2de2d82c819085d903a538313e70 |
completed | May 9, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2ea08ad08190b3ecf29bfe7a809a |
completed | May 9, 2026, 12:54 p.m. |
Created at: April 10, 2026, 3:38 a.m.