Triple
T11697255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homburg |
E278027
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
HOM
HOM is the vehicle registration code for the German town of Homburg in the state of Saarland.
|
E941208
|
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: HOM | Statement: [Homburg, vehicleRegistrationCode, HOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOM Context triple: [Homburg, vehicleRegistrationCode, HOM]
-
A.
Homel
Homel (also known as Gomel) is a major city in southeastern Belarus, situated on the Sozh River and serving as an important industrial, cultural, and historical center of the region.
-
B.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
C.
Homowo
Homowo is a major traditional harvest festival of the Ga people of Ghana, marked by rituals, drumming, dancing, and the symbolic “hooting at hunger.”
-
D.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
E.
HM
HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
- 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: HOM Triple: [Homburg, vehicleRegistrationCode, HOM]
Generated description
HOM is the vehicle registration code for the German town of Homburg in the state of Saarland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOM Target entity description: HOM is the vehicle registration code for the German town of Homburg in the state of Saarland.
-
A.
Homel
Homel (also known as Gomel) is a major city in southeastern Belarus, situated on the Sozh River and serving as an important industrial, cultural, and historical center of the region.
-
B.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
C.
Homowo
Homowo is a major traditional harvest festival of the Ga people of Ghana, marked by rituals, drumming, dancing, and the symbolic “hooting at hunger.”
-
D.
HM
HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
-
E.
HM
HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47cef60819088b7cc3a3a711e4c |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1471cba88190a7abdcbf4f579ea9 |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef511f8f688190b2806d4e8ab16511 |
completed | April 27, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef537efcc48190afffaa50f28940d8 |
completed | April 27, 2026, 12:15 p.m. |
Created at: April 8, 2026, 9:40 p.m.