Triple
T27960255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrowtown |
E704557
|
entity |
| Predicate | notableSeasonalEvent |
P155485
|
FINISHED |
| Object |
Arrowtown Autumn Festival
The Arrowtown Autumn Festival is an annual community celebration in Arrowtown, New Zealand, known for its vibrant autumn foliage, parades, markets, and cultural events.
|
E1796964
|
NE FINISHED |
How this triple was built (3 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: Arrowtown Autumn Festival | Statement: [Arrowtown, notableSeasonalEvent, Arrowtown Autumn Festival]
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: Arrowtown Autumn Festival Triple: [Arrowtown, notableSeasonalEvent, Arrowtown Autumn Festival]
Generated description
The Arrowtown Autumn Festival is an annual community celebration in Arrowtown, New Zealand, known for its vibrant autumn foliage, parades, markets, and cultural events.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeasonalEvent Context triple: [Arrowtown, notableSeasonalEvent, Arrowtown Autumn Festival]
-
A.
famousSeasonalEvent
chosen
Indicates a recurring event that is widely recognized or celebrated during a particular season.
-
B.
seasonOfNotableEvent
Indicates the season of the year during which a notable event occurs or is recognized.
-
C.
hasSeasonalEvents
Indicates that an entity organizes or experiences events that occur only during specific seasons or times of the year.
-
D.
annualEvent
Indicates that an event occurs once every year on a recurring basis.
-
E.
celebratedEvent
Indicates that an entity has been honored, commemorated, or festively observed as a special event.
- F. None of above.
Provenance (6 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_6a005e8a2f7c819085bfc6f04b866d87 |
completed | May 10, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a13116d59c88190bb9f465e0b8e8517 |
completed | May 24, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a13123ff90c8190990bfee6acf6bec0 |
completed | May 24, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1313b4fa4c81909b37b7a51f926f45 |
completed | May 24, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_6a005de82ef08190a015b385d1d3443c |
completed | May 10, 2026, 10:28 a.m. |
Created at: April 27, 2026, 7:31 p.m.