Triple
T16290794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sang et Or |
E395515
|
entity |
| Predicate | hasColorTerm |
P48842
|
FINISHED |
| Object |
Sang
Sang is a French term meaning "blood," often used to denote a deep, vivid red color.
|
E1204910
|
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: Sang | Statement: [Sang et Or, hasColorTerm, Sang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sang Context triple: [Sang et Or, hasColorTerm, Sang]
-
A.
SANG
SANG is the acronym for the Saudi Arabian National Guard, a key military and security force responsible for protecting the Saudi royal family, strategic facilities, and internal stability.
-
B.
Sung
Sung is the given name of actor Sung Kang, best known for his role as Han in the Fast & Furious film franchise.
-
C.
Sangan
Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
-
D.
Sangatte
Sangatte is a coastal commune in northern France on the English Channel, known for its proximity to the Channel Tunnel and the Cap Blanc-Nez cliffs.
-
E.
Solung
Solung is a major agricultural and socio-religious festival of the Adi community in Arunachal Pradesh, celebrated with rituals, dances, and feasting to invoke prosperity and good harvest.
- 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: Sang Triple: [Sang et Or, hasColorTerm, Sang]
Generated description
Sang is a French term meaning "blood," often used to denote a deep, vivid red color.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sang Target entity description: Sang is a French term meaning "blood," often used to denote a deep, vivid red color.
-
A.
SANG
SANG is the acronym for the Saudi Arabian National Guard, a key military and security force responsible for protecting the Saudi royal family, strategic facilities, and internal stability.
-
B.
Sung
Sung is the given name of actor Sung Kang, best known for his role as Han in the Fast & Furious film franchise.
-
C.
Sangan
Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
-
D.
Sangatte
Sangatte is a coastal commune in northern France on the English Channel, known for its proximity to the Channel Tunnel and the Cap Blanc-Nez cliffs.
-
E.
Solung
Solung is a major agricultural and socio-religious festival of the Adi community in Arunachal Pradesh, celebrated with rituals, dances, and feasting to invoke prosperity and good harvest.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2491821d0819086cffdd7551ba85a |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f97895081909f22ded3507afe14 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0020c8f904819090bea8655972fa85 |
completed | May 10, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00213560588190850ab5a66fc43704 |
completed | May 10, 2026, 6:09 a.m. |
Created at: April 10, 2026, 5:05 a.m.