Triple
T7224157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sud Department |
E150334
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Tiburon
Tiburon is a coastal commune in southwestern Haiti known for its location on the Tiburon Peninsula along the Caribbean Sea.
|
E650172
|
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: Tiburon | Statement: [Sud Department, containsCommune, Tiburon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiburon Context triple: [Sud Department, containsCommune, Tiburon]
-
A.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
B.
Barracuda
Barracuda is Seagate Technology’s long-running family of consumer and desktop hard disk drives known for high capacity and mainstream performance.
-
C.
Barracuda
Barracuda is a tropical-style rum-based cocktail typically featuring pineapple and lime flavors, often served as a refreshing, fruity mixed drink.
-
D.
Marlin
Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
-
E.
Tayassu
Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
- 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: Tiburon Triple: [Sud Department, containsCommune, Tiburon]
Generated description
Tiburon is a coastal commune in southwestern Haiti known for its location on the Tiburon Peninsula along the Caribbean Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiburon Target entity description: Tiburon is a coastal commune in southwestern Haiti known for its location on the Tiburon Peninsula along the Caribbean Sea.
-
A.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
B.
Barracuda
Barracuda is a tropical-style rum-based cocktail typically featuring pineapple and lime flavors, often served as a refreshing, fruity mixed drink.
-
C.
Barracuda
Barracuda is Seagate Technology’s long-running family of consumer and desktop hard disk drives known for high capacity and mainstream performance.
-
D.
Marlin
Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
-
E.
Tayassu
Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9db51888190b8463d0003f334fa |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc11b48881909886a71f1b887789 |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7cd47d4b88190a75c419c41d57cb9 |
completed | March 28, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cdbdee8081908faadb9cdaa4df13 |
completed | March 28, 2026, 12:46 p.m. |
Created at: March 27, 2026, 2:54 p.m.