Triple
T15009001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esselen |
E377784
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Eslenes
Eslenes is an alternative name for the Esselen, a Native American people indigenous to the central coast of California.
|
E1132209
|
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: Eslenes | Statement: [Esselen, hasAlternativeName, Eslenes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eslenes Context triple: [Esselen, hasAlternativeName, Eslenes]
-
A.
Exelmans
Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
-
B.
Elezen
Elezen are a tall, long-eared elven-like race in Final Fantasy XIV known for their grace, proud traditions, and prominent role in the realm of Eorzea.
-
C.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
D.
Lelos
Lelos is the nickname of Georgia's national rugby union team, known for its powerful forward play and growing presence in international rugby.
-
E.
Minkels
Minkels is a data center infrastructure brand known for its modular server racks, cooling solutions, and cable management systems, now part of the Legrand group.
- 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: Eslenes Triple: [Esselen, hasAlternativeName, Eslenes]
Generated description
Eslenes is an alternative name for the Esselen, a Native American people indigenous to the central coast of California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eslenes Target entity description: Eslenes is an alternative name for the Esselen, a Native American people indigenous to the central coast of California.
-
A.
Exelmans
Exelmans is a Paris Métro station on Line 9 located in the 16th arrondissement of Paris, France.
-
B.
Elezen
Elezen are a tall, long-eared elven-like race in Final Fantasy XIV known for their grace, proud traditions, and prominent role in the realm of Eorzea.
-
C.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
D.
Lelos
Lelos is the nickname of Georgia's national rugby union team, known for its powerful forward play and growing presence in international rugby.
-
E.
Minkels
Minkels is a data center infrastructure brand known for its modular server racks, cooling solutions, and cable management systems, now part of the Legrand group.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded734943481908dad4ceed4fe850c |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a52bb08190961e3f18d751fe2a |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98bf505c819089740180a763db34 |
completed | May 9, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9aab47888190812ff9732380e124 |
completed | May 9, 2026, 2:23 a.m. |
Created at: April 10, 2026, 2:55 a.m.