Triple
T7197336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gebal |
E168648
|
entity |
| Predicate | hasEgyptianName |
P1435
|
FINISHED |
| Object |
Kbn
Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
|
E648226
|
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: Kbn | Statement: [Gebal, hasEgyptianName, Kbn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kbn Context triple: [Gebal, hasEgyptianName, Kbn]
-
A.
KNB
KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
-
B.
KBKL
KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
C.
k_B
k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
-
D.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
E.
Knv
Knv is the station code for Knivsta railway station in Sweden.
- 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: Kbn Triple: [Gebal, hasEgyptianName, Kbn]
Generated description
Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kbn Target entity description: Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
-
A.
KNB
KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
-
B.
KBKL
KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
C.
k_B
k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
-
D.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
E.
Knv
Knv is the station code for Knivsta railway station in Sweden.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e928ecdc8190a7f3feaf6d28781b |
completed | March 27, 2026, 8:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfa6be648190950f682eaaeb1a18 |
completed | March 28, 2026, 11:46 a.m. |
| NEDg | Description generation | batch_69c7c01e84388190858d34a6a047bf63 |
completed | March 28, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c0a9eb0c819080cda73d67e84fe9 |
completed | March 28, 2026, 11:51 a.m. |
Created at: March 27, 2026, 2:51 p.m.