Triple
T18846905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amt Hohe Elbgeest |
E460939
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Lanze
Lanze is a small municipality in the district of Herzogtum Lauenburg in Schleswig-Holstein, northern Germany.
|
E1345340
|
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: Lanze | Statement: [Amt Hohe Elbgeest, hasMunicipality, Lanze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanze Context triple: [Amt Hohe Elbgeest, hasMunicipality, Lanze]
-
A.
Long Lance
Long Lance is the Allied nickname for Japan’s Type 93 torpedo, a highly advanced and powerful World War II naval weapon renowned for its exceptional range and destructive capability.
-
B.
Spear
The Spear is a professional wrestling move in which a wrestler charges forward to tackle an opponent with a powerful, driving shoulder to the midsection.
-
C.
Qatana
Qatana is a town in southwestern Syria that serves as an administrative center and lies near the capital, Damascus.
-
D.
Talwara
Talwara is a small town in the Indian state of Himachal Pradesh, known primarily for its proximity to the Pong Dam on the Beas River.
-
E.
The Lance
The Lance is the English translation of "Lansen," the name given to the Swedish Saab 32 jet aircraft.
- 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: Lanze Triple: [Amt Hohe Elbgeest, hasMunicipality, Lanze]
Generated description
Lanze is a small municipality in the district of Herzogtum Lauenburg in Schleswig-Holstein, northern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanze Target entity description: Lanze is a small municipality in the district of Herzogtum Lauenburg in Schleswig-Holstein, northern Germany.
-
A.
Long Lance
Long Lance is the Allied nickname for Japan’s Type 93 torpedo, a highly advanced and powerful World War II naval weapon renowned for its exceptional range and destructive capability.
-
B.
Spear
The Spear is a professional wrestling move in which a wrestler charges forward to tackle an opponent with a powerful, driving shoulder to the midsection.
-
C.
Qatana
Qatana is a town in southwestern Syria that serves as an administrative center and lies near the capital, Damascus.
-
D.
Talwara
Talwara is a small town in the Indian state of Himachal Pradesh, known primarily for its proximity to the Pong Dam on the Beas River.
-
E.
The Lance
The Lance is the English translation of "Lansen," the name given to the Swedish Saab 32 jet aircraft.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8efafdc81909608b8a47deeaa8e |
completed | April 20, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567743f788190b85a9fa1e7345a27 |
completed | May 14, 2026, 6:11 a.m. |
| NEDg | Description generation | batch_6a0568fc78748190b487d4c0b444a8ea |
completed | May 14, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056966665c81909d9e82f1fbd1d518 |
completed | May 14, 2026, 6:19 a.m. |
Created at: April 10, 2026, 11:56 a.m.