Triple
T14540725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaba |
E341160
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
JDNT
JDNT is a component or subdivision within Zaba, likely representing a specific unit, department, or feature of that larger entity.
|
E1104060
|
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: JDNT | Statement: [Zaba, hasPart, JDNT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JDNT Context triple: [Zaba, hasPart, JDNT]
-
A.
JOD
JOD is the official currency code for the Jordanian dinar, the national currency of Jordan.
-
B.
JNPT
JNPT (Jawaharlal Nehru Port Trust) is India’s largest container port, located near Mumbai on the Arabian Sea coast in Maharashtra.
-
C.
JdI
JdI is the standard abbreviation for the "Jahrbuch des Deutschen Archäologischen Instituts," a leading scholarly yearbook in the field of classical archaeology published by the German Archaeological Institute.
-
D.
JD
The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
-
E.
JD
JD is the IATA airline designator assigned to Beijing Capital Airlines, a Chinese carrier based in Beijing.
- 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: JDNT Triple: [Zaba, hasPart, JDNT]
Generated description
JDNT is a component or subdivision within Zaba, likely representing a specific unit, department, or feature of that larger entity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JDNT Target entity description: JDNT is a component or subdivision within Zaba, likely representing a specific unit, department, or feature of that larger entity.
-
A.
JOD
JOD is the official currency code for the Jordanian dinar, the national currency of Jordan.
-
B.
JNPT
JNPT (Jawaharlal Nehru Port Trust) is India’s largest container port, located near Mumbai on the Arabian Sea coast in Maharashtra.
-
C.
JdI
JdI is the standard abbreviation for the "Jahrbuch des Deutschen Archäologischen Instituts," a leading scholarly yearbook in the field of classical archaeology published by the German Archaeological Institute.
-
D.
JD
The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
-
E.
JD
JD is the IATA airline designator assigned to Beijing Capital Airlines, a Chinese carrier based in Beijing.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5cca788190aa8762d860c78721 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7b1452d48190b95187cc6b6e5b6a |
completed | May 8, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7b9387988190abb20ea06c04d6cc |
completed | May 8, 2026, 5:58 a.m. |
Created at: April 10, 2026, 1:22 a.m.